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Dezert-Smarandache Theory of plausible and paradoxist reasoning

The Dezert-Smarandache Theory (DSmT) of plausible and paradoxist reasoning is a natural extension of the classical Dempster-Shafer Theory (DST) but includes fundamental differences with the DST. DSmT allows to formally combine any types of independent sources of information represented in term of belief functions, but is mainly focused on the fusion of uncertain, highly conflicting and imprecise quantitative or qualitative sources of evidence. DSmT is able to solve complex, static or dynamic ...



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To improve the correct radar emitter recognition rate in cases that radar emitter characteristic parameters are overlapped with each other and existence of multiple modes, a DSm (Dezert-Smarandache) evidence modeling and radar emitter fusion recognition method based on cloud model is proposed. First, the radar emitter characteristic parameters which are overlapped and have multiple modes are modeled in DSm frame based on cloud model, then the degree of membership of unkonwn radar emitter signal...
In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic belief assignments (BBAs) to subjective probabilities (called Bayesian BBAs). This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems), or if one needs to make a decision in the decision making problems. In this paper, we present a new fast...
This paper formulates an evidence-theoretic multimodal unification approach using belief functions that takes into account the variability in biometric image characteristics. While processing non-ideal images the variation in the quality of features at different levels of abstraction may cause individual classifiers to generate conflicting genuine-impostor decisions. Existing fusion approaches are non-adaptive and do not always guarantee optimum performance improvements. We propose a contextual...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by S.N. Yanushkevich; W.G. Howells; K.A. Crockett; J. O’Shea; H.C.R. Oliveira; R.M. Guest; V.P. Shmerko
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This work advocates for cognitive biometric-enabled systems that integrate identity management, risk assessment and trust assessment. The cognitive identity management process is viewed as a multi-state dynamical system, and probabilistic reasoning is used for modeling of this process. This paper describes an approach to design a platform for risk and trust modeling and evaluation in the cognitive identity management built upon processing heterogeneous data including biometrics, other sensory...
This book is devoted to an emerging branch of Information Fusion based on new approach for modelling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations. We gathered in this volume a presentation of DSmT from the beginning to the latest development. Part 1 of this book presents the current state-of-the-art on...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Yi Wang; Yingwu Fang; Xinyu Da; Shuxin Chen; Hui Wang
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Compared with DST, DSmT can be good evidence of contradictions to resolve the issue of evidence portfolios, In view of the occluding in tracking dynamic targets in complex background, a new anti-occluding target tracking algorithm based on DSmT and particle filter is proposed by color cues. The simulation results show that the proposed algorithm is effective and practicable in tracking occluded target and intersected target. Compared with the existing combination rules, the newly proposed rule...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Uwe Mönks; Helene Dörksen; Volker Lohweg; Michael Hübner
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Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Xin Guan; Jing Zhao; Haiqiao Liu
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There are many unsatisfactory situations in the existing improvement methods of evidence theory, such as a large amount of calculation, the normalization process is unreasonable, the evidence combination effect is not ideal in the conflict evidence decision-making process, and so on. This paper proposes a method based on quadratic combination of conflict evidence to improve the above situations. Firstly, a new flow chart of conflict evidence decision method based on quadratic combination is...
Trustworthy contextual data of human action recognition of remotely monitored person who requires medical care should be generated to avoid hazardous situation and also to provide ubiquitous services in home-based care. It is difficult for numerous reasons. At first level, the data obtained from heterogeneous source have different level of uncertainty. Second level generated information can be corrupted due to simultaneous operations. In this paper human action recognition can be done based on...
Currently, multimodal transport is one of the priorities of the Ukrainian and European transport policies. The multimodal logistics is based on the effective management of technologically interconnected transportation of goods using more than two modes of transport under a single transportation contract. World practice of using multimodal logistics systems shows that today multimodal transportation is the most popular way to transport goods over medium and long distances. Based on effective...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by S. Yanushkevich; S. Eastwood; K. Lai; V. Shmerko
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This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled systems are evolving towards deep learning and deep inference using the principles of adaptive computing, – the front tides of the modern computational intelligence domain. Therefore, we focus on intelligent inference engines widely deployed in biometrics. Computational intelligence applications that cover a wide...
Traditional particle filter (PF) will have bad effect when the target’s color is similar to the background or the target is blocked, and an improved tracking algorithm is presented in the framework of PF and DSmT. According to the location cue, a new tracking approach is given to establish the model of multiple moving targets based on information fusion. Experimental results demonstrate that the proposed approach can accurately track the intersecting targets in cluttered scenes, and high...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Xiangjun Mia; Bingyi Kang
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In this paper, we proposed a notion of belief universal gravitation (BUG) in the Dempster- Shafer (D-S) evidence theory, of which the notion of mass of a belief function is newly addressed using evidence quality coding (EQC) method. The proposed BUG aims to discuss the process of information fusion from the perspective of Newton’s mechanics, which may provide us a new insight to address the issues of D-S evidence theory. A key issue in D-S evidence theory, i.e., conflict management, is solved...
Ship type identification is an important part of electronic reconnaissance. However, in the existing methods, such as statistical-based methods and fuzzy-mathematics-based methods, the information acquired by the passive sensor is not fully utilized, and there is a certain ambiguity in the assignment relationship of the emitters-ship. They can’t conclude the accurate and reliable assignment relationship of the emitters-ship. Therefore, this paper proposes a comprehensive correlation...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Gerardo Iovane; Patrizia Di Gironimo; Marta Chinnici; Antonio Rapuano
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When we try to solve new or known problems to which we want to give new solutions, we create new knowledge and realize new discoveries. To date, the scientific methods have used the probability in order to analyze problems, make inference and build forecasts. However, everyone agreed that most problems do not follow standard probabilistic rules. In this study we will build an uncertainty logic by using the concept of probability, with those of plausibility, credibility and possibility. We will...
The purpose of this paper is uncertainty evaluation in a target differentiation problem. In the problem ultrasonic data fusion is applied using Dezert–Smarandache theory (DSmT). Besides of presenting a scheme to target differentiation using ultrasonic sensors, the paper evaluates DSmT-based fused results in uncertainty point of view. The study obtains pattern of data for targets by a set of two ultrasonic sensors and applies a neural network as target classifier to these data to categorize...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by S. Mohana Prakash; P. Betty; K. Sivanarulselvan
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Biometrics is used to uniquely identify a person‘s individual based on physical and behavioural characteristics. Unimodal biometric system contains various problems such as degree of freedom, spoof attacks, non-universality, noisy data and error rates. Multimodal biometrics is introduced to overcome the limitations in Unimodal biometrics. The presented methodology extracts the features of four biometric traits such as fingerprint, palm, iris and retina. Then extracted features are fused in...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Refaul Ferdous; Faisal Khan; Rehan Sadiq; Paul Amyotte; Brian Veitch
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Quantitative risk analysis (QRA) is a systematic approach for evaluating likelihood, consequences, and risk of adverse events. QRA based on event (ETA) and fault tree analyses (FTA) employs two basic assumptions. The first assumption is related to likelihood values of input events, and the second assumption is regarding interdependence among the events (for ETA) or basic events (for FTA). Traditionally, FTA and ETA both use crisp probabilities; however, to deal with uncertainties, the...
Red Tech. BD, an online based business company intended to spread their business over whole Rajshahi District. As there is no cost for manufacturing the only factor that can maximize the profit is the product transportation cost. Determination of the optimum & reliable transportation medium was the first challenge. A suitable destination for distributing the products in the selected location has been chosen carefully on the basis of demand & minimum rent of warehouse. First, the...
This paper demonstrates a framework of processes for identifying potential witnesses of events from evidence they post to social media. The research defines original evidence models for micro-blog content sources, the relative uncertainty of different evidence types, and models for testing evidence by combination. Methods to filter and extract evidence using automated and semi-automated means are demonstrated using a Twitter case study event. Further, an implementation to test extracted...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Md Samsur Rahman; Faisal Khan; Arifusalam Shaikh; Salim Ahmed; Syed Imtiaz
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Logistics support to offshore operations is challenging, especially under severe environmental conditions such as those in the Arctic and sub-Arctic. The dominant environmental conditions, including waves, wind, poor visibility and the presence of icebergs and sea ice determine the mode and success of logistics support. Use of helicopters as a mode of logistics transport becomes ineffective when the distance is longer, the visibility is low, or the weather is stormy. Marine logistics support is...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Xing-Xian Zhang; Ying-Ming Wang; Sheng-Qun Chend; Lei Chena
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Dempster-Shafer theory (DST) or evidence theory has significant advantages in the fields of information aggregation and decision analysis. In this paper, in order to overcome the counter-intuitive behavior or specificity changes caused by evidence theory, the evidential reasoning (ER) rule which handles the weight and reliability of evidence in an appropriate way, is generalized to deal with the combination of conflicting interval-valued belief structures (IBSs). Specifically, an optimization...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Xinde Li; Fengyu Wang
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Aiming at the counterintuitive phenomena of the Dempster–Shafer method in combining the highly conflictive evidences, a combination method of evidences based on the clustering analysis is proposed in this paper. At first, the cause of conflicts is disclosed from the point of view of the internal and external contradiction. And then, a new similarity measure based on it is proposed by comprehensively considering the Pignistic distance and the sequence according to the size of the basic belief...
One-class classifier (OCC) is involved for solving different kinds of problems due to its ability to represent a class distribution regardless the remaining classes. Its main advantage for multi-class classification is offering an open system and therefore allows easily extending new classes without retraining OCCs. So far, hidden Markov models, support vector machines and neural networks are the most used classifiers for Arabic word recognition, which provides a system with closed lexicon. In...
In this paper, we present a deciding technique for robotic dexterous hand configurations. This algorithm can be used to decide on how to configure a robotic hand so it can grasp objects in different scenarios. Receiving as input, several sensor signals that provide information on the object’s shape, the DSmT decision-making algorithm passes the information through several steps before deciding what hand configuration should be used for a certain object and task. The proposed decision-making...
To prevent disastrous consequences imputed to levee breakage, assessment methodologies have to be improved. Geophysical and geotechnical investigation methods are usually used to make such assessments. However, the effective combination of these two specific types of data remains a challenge. We propose the fusion of geophysical and geotechnical data by means of Belief Functions. Here we demonstrate our approach on a synthetic case study including geophysical (electrical resistivity) and...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Jianbin Xiong; Chunlin Li; Jian Cen; Qiong Liang; Yongda Cai
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Evidence reasoning (ER) combined with dimensionless index method can be used in rotating machinery fault diagnosis. In ER algorithm, reliability is mainly obtained in two ways: distance-based method and correlation measure by set theory. In practice, the distance-basedmethod cannot generate high-discrimination reliability in high-coincidence data like dimensionless index data. Therefore, correlationmeasure by set theory method is used in fault diagnosis more frequently. Because...
Two aspects of problems such as weight over-bounding and reliability-dependence cannot be well solved in the evidential reasoning (ER) approach with both weight and reliability. In order to solve the above problems, the characteristics of weight and reliability are investigated and summarized, i.e., the reliability of evidence is objective and absolute to reflect information quality, while the weight of evidence is subjective and relative to reflect information importance. Then a new...
Monitoring with high resolution land cover and especially of urban areas is a key task that is more and more required in a number of applications (urban planning, health monitoring, ecology, etc.). At the moment, some operational products, such as the “Copernicus High Resolution Imperviousness Layer”, are available to assess this information, but the frequency of updates is still limited despite the fact that more and more very high resolution data are acquired. In particular, the recent...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Simon Carladous; Jean-Marc Tacnet; Mireille Batton-Hubert; Jean Dezert; Olivier Marco
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In mountains, natural hazards such as torrential phenomena are damageable for elements at risk. Land use management policies depend on natural risk analysis and on its reduction by protective measures such as civil engineering structures (e.g. check dams, dikes) and forest. Managing these systems is thus needed to help land use planning. It is related to multidisciplinary decision-making problems, from technical effectiveness assessment of protective measures (structural, functional) to their...
In this article we develop an economic order quantity (EOQ) model with backlogging where the decision is made jointly from two decision maker supposed to view one of them as the industrialist (developer) and the other one as the responsible manager. The problem is handled under dense fuzzy environment. In fuzzy set theory the concept of dense fuzzy set is quite new which is depending upon the number of negotiations/ turnover made by industrial developers with the supplier of raw materials...
Dempster-Shafer theory (DST) is an important theory for information fusion. However, in DST how to determinate the basic belief assignment (BBA) is still an open issue. The interval number based BBA determination method is simple and effective, where the features of different classes’ samples are modeled using the interval numbers, i.e., an interval number model is constructed for each focal element. Then, the distances of interval numbers are used for measuring the similarity degrees between...
The identification of the subsoil constitutive materials, as well as the detection of possible interfaces and anomalies, are crucial for many site characterization applications. During investigation campaigns, complementary geophysical and geotechnical methods are usually used. These two sets of methods yield datawith very different spatial scales and different levels of incompleteness, uncertainty and inaccuracy. In this work, a mathematical combination of geophysical and geotechnical...
Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past...
Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning has excellent performance when the data contain uncertainty or conflicting. However, the methods developed in DSmT are in general very computationally expensive, thus they may not be directly applied to multiple data sources with high cardinality. In this paper, we explore the feasibility of using DSmT in practical applications through a case study. Specifically, we propose a DSm hybrid model with reduced number of classes...
The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The First Part of this book presents the theoretical advancement of DSmT, dealing with Belief functions, conditioning and deconditioning, Analytic Hierarchy Process, Decision Making, Multi-Criteria, evidence theory, combination rule, evidence distance, conflicting...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Sarah Calderwood; Kevin McAreavey; Weiru Liu; Jun Hong
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There has been much interest in the belief–desire–intention (BDI) agent-based model for developing scalable intelligent systems, e.g. using the AgentSpeak framework. However, reasoning from sensor information in these large-scale systems remains a significant challenge. For example, agents may be faced with information from heterogeneous sources which is uncertain and incomplete, while the sources themselves may be unreliable or conflicting. In order to derive meaningful conclusions, it is...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Luige Vladareanu; Victor Vladareanu; Ionel-Alexandru Gal; Daniel-Octavian Melinte; Vlad Grosu; Mihai Radulescu
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The paper present IoT Open Architecture Ground Control System by adaptive fusion intelligent interfaces to the robot vectors communications applied to network densification in 5G Era. Intelligent interfaces for optimization and decision-making using neural networks, neutrosophic logic and deep learning convolutional are analyzed. The proposed solution providing efficient information management and decision grounding at a tactical and operative level in a wide array of applications.
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Song Yuan-zhang; Li Hong-yu; Chen Yuan; Wang Jun-jie
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A novel P2P bot net detection algorithm based on fractal and adaptive data fusion is proposed.
The purpose of this paper is to extend the work of fusing sensors with a Bayesian method to incorporate the sensor’s reliability with regard to their operating environment. The results are then to be used with the expected decision formula, conditional entropy and mutual information for suboptimally selecting which types of sensors should be fused where there are operational constraints. The approach is an extension of previous work incorporating an environment parameter. The expected...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Changrong Ye; Guojun Li; Yang Bao; Jinliang Qiao; Deping Zhang
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T-Wave alternans (TWA) is a cardiac phenomenon regarded as an index of high risk of sudden cardiac death (SCD). Although a number of methods have been proposed for TWA detection, their final decision always fully depends on one single lead which is usually picked out for its strongest TWA detection result among all the other leads. That is to say that lots of useful information have been unused and wasted. To our best knowledge, no method that fuses TWA detection results independently obtained...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Shengqun Chen; Yingming Wang; Hailiu Shi; Meijing Zhang; Yang Lin
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In the evidential reasoning approach of decision theory, different evidence weights can generate different combined results. Consequently, evidence weights can significantly influence solutions. In terms of the “psychology of economic man,” decision-makers may tend to seek similar pieces of evidence to support their own evidence and thereby form alliances. In this paper, we extend the concept of evidential reasoning (ER) to evidential reasoning based on alliances (ERBA) to obtain the...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Shuai Yuan; Pengcheng Guo; Xiaoying Han; Fangjun Luan; Feng Zhang; Tianbo Liu; Hongmin Mao
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As for uncertainties of ranging and direction angle in the ultrasonic sensor measurement, an ultrasonic distance measurement model is first of all proposed for representing these uncertainties through analyzing working principle of the ultrasonic sensor, which can be adopted to detect the contour of wall plan and cylinder. Moreover, the Dezert-Smarandache Theory (DSmT) method is employed to fuse the uncertainty data measured by using the ultrasonic sensor. Next, Extended Hough Transform (EHT)...
The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities). However, it has three infeasible aspects: reliability dependence, unreliability effectiveness, and intergeneration inconsistency. This study aimed to establish a generalized combination (GC) rule with both weight and reliability, where ER and DS can be viewed as two...
Quite often, experts are involved in the process of diagnosis and monitoring the technical condition of buildings and structures, and in this case, situations might arise when expert data is generated under some specific types of uncertainty, and their possible combinations. This, in turn, necessitates the development of new approaches aimed at solving the problems of structuring and analytical processing of inaccurate, uncertain, fuzzy expert knowledge. The methodology for choosing the...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Shashank Govindaraj; Jeremi Gancet; Mark Post; Raul Dominguez; Fabrice Souvannavong; Simon Lacroix; Michal Smisek; Javier Hidalgo-Carrio
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Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration,...
The objective of this paper is to detect fire in the forest where some plants and trees are prone to fire very easily. The detection of forest fire preserves economic and environmental wealth of forest and defends human life. Wireless Sensor Networks (WSNs) are used to monitor tactical and hazardous sites inside the forest. Failure detection of sensor nodes in this specified application is a major concern. Furthermore, in WSN systems failures are unavoidable due to hardware constraints,...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Juanli Li; Jiacheng Xie; Zhaojian Yang; Junjie Li
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To reduce the difficulty of acquiring and transmitting data in mining hoist fault diagnosis systems and to mitigate the low efficiency and unreasonable reasoning process problems, a fault diagnosis method for mine hoisting equipment based on the Internet of Things (IoT) is proposed in this study. The IoT requires three basic architectural layers: a perception layer, network layer, and application layer. In the perception layer, we designed a collaborative acquisition system based on the ZigBee...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Zhao Yu-Xin; Jia Ren-Feng; Liu Chang; Shen Zhi-Feng
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To solve the problem in the transformation of basic probability assignment to decision-making probability, this paper proposed a novel transformation method based on correlation degree. The correlation degree between basic probability assignment of singleton proposition and decision-making probability was used to evaluate the transformation method, and the decision-making probability of each proposition was achieved by linear combination, which was the transformation method of decision-making...
This paper generates an organization-task interdependent network model based upon functional dependence between tasks and executive dependence between organizations and tasks in an complex product research and development (R&D) project. Then it develops and simulates the dynamic model of technical risk diffusion by analyzing the interaction between organizations and tasks when facing with technical risks. The results show that the technical risk diffusion caused by a few tasks can...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Azeddine Elhassouny; Soufiane Idbraim; Aissam Bekkarri; Driss Mammass; Danielle Ducrot
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In this paper we introduce a new procedure for classification and change detection by the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP transformation, which is as an alternative and extension and overcoming the inherent limitations of the...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Jean Dezert; Albena Tchamova; Pavlina Konstantinova
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The main objective of this paper is to present, to apply, and to test the effectiveness of the new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the classical optimal data association solution for improving the performances of multitarget tracking systems in clutter, when some of the association decisions given in the optimal assignment solution are unreliable and doubtful and lead to potentially...
Nowadays, tremendous growth of Internet of Things (IoT) applications is seen in smart environments such as medical remote care applications which are crucial due to the general aging of the population. With the recent advancements in IoT-based healthcare technologies, activity recognition can be used as the key part of the intelligent healthcare systems to monitor elderly people to live independently at homes and promote a better care. Recently, the evidence theory and its derivates approaches...
This paper describes an original method of global machine condition assessment for infrared condition monitoring and diagnostics systems. This method integrates two approaches: the first is processing and analysis of infrared images in the frequency domain by the use of 2D Fourier transform and a set of F-image features, the second uses fusion of classification results obtained independently for F-image features. To find the best condition assessment solution, the two different types of...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Kamel Ghanem Ghalem; Fatiha Hendel
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In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to...
The second volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics.
In recent years, computational capability of mobile devices such as Laptops, mobile phones, PDAs, etc., are greatly improved. Implementation of SOA ("Service Oriented Architectures") in mobile ad hoc networks increases the flexibility of using mobile devices. On composing different available services to satisfy end user requirement is a critical challenge in MANETs ("Mobile Ad Hoc Network") due to dynamic topology, Resource heterogeneity, Bandwidth constraint and highly...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Fiona Browne; Niall Rooney; Weiru Liu; David Bell; Hui Wang; Philip S. Taylor; Yan Jin
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Decision making is an important element throughout the life-cycle of large-scale projects. Decisions are critical as they have a direct impact upon the success/outcome of a project and are affected by many factors including the certainty and precision of information. In this paper we present an evidential reasoning framework which applies Dempster–Shafer Theory and its variant Dezert–Smarandache Theory to aid decision makers in making decisions where the knowledge available may be...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Sun Wei-chao; Xu Ai-qiang; Li Wen-hai
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In the process of data fusion with evidence theory, precise belief structures required in original evidence theory are not always available. At this point, approaches for combination of interval-valued belief structures is needed. The paper proposed four version of CDI for combination of evidence.
Assessment of structural, functional and economic effectiveness of civil protective works against natural hazard, such as torrential check dams, is a key issue for infrastructures assets owners and managers such as French government who owns many of them. This assessment relies on imperfect information (imprecise, incomplete, uncertain), provided by several sources, which relates as far to structures themselves than to natural phenomena scenarios. Decision-aid methods in uncertain contexts,...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Rafael Muñoz-Salinas; R. Medina-Carnicer; F.J. Madrid-Cuevas; A. Carmona-Poyato
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This work proposes a novel filtering algorithm that constitutes an extension of Bayesian particle filters to the Dempster–Shafer theory. Our proposal solves the multi-target problem by combining evidences from multiple heterogeneous and unreliable sensors. The modelling of uncertainty and absence of knowledge in our approach is specially attractive since it does not require to specify prior nor conditionals that might be difficult to obtain in complex problems. The algorithm is employed to...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Hu Lifang; He You; Guan Xin; Deng Yong; Han Deqiang
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The mapping from the belief to the probability domain is a controversial issue, whose original purpose is to make (hard) decision, but for contrariwise to erroneous widespread idea/claim, this is not the only interest for using such mappings nowadays. Actually the probabilistic transformations of belief mass assignments are very useful in modern multitarget multisensor tracking systems where one deals with soft decisions, especially when precise belief structures are not always available due to...
This book in Chinese is devoted to an emerging branch of Information Fusion based on new approach for modelling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations.
The purpose of the paper is to substantiate a new approach to forecasting hydrocarbon potential of subsoil plots via co-analysis of satellite, geo-geophysical and geochemical information by means of subjective logic. Basic concepts of subjective logic are given, the method of forecasting the oil and gas potential of a subsoil plots is described. The method is tested by applying it to real area with hydrocarbon deposits.
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Simon Carladous; Jean-Marc Tacnet; Jean Dezert; Deqiang Han; Mireille Batton-Hubert
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Decision-Aid Methods (DAMs) such as the Cost- Benefit Analysis (CBA) and the Analytical Hierarchy Process (AHP) help decision-makers to rank alternatives or to choose the best one among several potential ones. The new Belief Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) methods have been recently developed for Multi-Criteria Decision-Making problems. In this paper, we compare CBA, AHP and BF-TOPSIS methods through an actual application case to natural...
The third volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics.
In this paper, a new score level fusion approach is proposed. It is based on Differential Evolution (DE) technique and Proportional Conflict Redistribution fusion rule. DE technique is used to find the best confidence factors of the belief assignments of the different modalities. The fusion of the weighted belief assignments is then performed by Proportional Conflict Redistribution combination rule. Experiments are conducted on the scores of BANCA multimodal dataset. A comparative study is...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Kuang Zhou; Arnaud Martin; Quan Pan
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The theory of belief functions is widely used for data from multiple sources. Different evidence combination rules have been proposed in this framework according to the properties of the sources to combine. However, most of these combination rules are not efficient when there are a large number of sources. This is due to either the complexity or the existence of an absorbing element such as the total conflict mass function for the conjunctive based rules when applied on unreliable evidence. In...
This paper presents an integrated image fusion and match score fusion of multispectral face images. The fusion of visible and long wave infrared face images is performed using 2-granular SVM which uses multiple SVMs to learn both the local and global properties of the multispectral face images at different granularity levels and resolution. The 2-GSVM performs accurate classification which is subsequently used to dynamically compute the weights of visible and infrared images for generating a...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by Qiang Guo; You He; Tao Jian; Haipeng Wang; Shutao Xia
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Due to the huge computation complexity of Dezert–Smarandache Theory (DSmT), its applications especially for multi-source (more than two sources) complex fusion problems have been limited. To get high similar approximate reasoning results with Proportional Conflict Redistribution 6 (PCR6) rule in DSmT framework (DSmT +PCR6) and remain less computation complexity, an Evidence Clustering DSmT approximate reasoning method for more than two sources is proposed. Firstly, the focal elements of multi...
As one of the most important mathematical methods, the Dempster-Shafer (D-S) evidence theory has been widely used in date fusion, risk assessment, target identification, knowledge reasoning, and other fields. This paper summarized the development and recent studies of the explanations of D-S model, evidence combination algorithms, and the improvement of the conflict during evidence combination, and also compared all explanation models, algorithms, improvements, and their applicable conditions....
The use of expert knowledge is always more or less afflicted with uncertainties for many reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we ask several experts to label data (e.g., to assign class labels to given data objects, i.e. samples), we often state that these experts make different, sometimes conflicting statements. The problem of labeling data for classification tasks is a serious one in many technical applications where it is rather easy to gather...
In this paper, the theory of plausible and paradoxical reasoning of Dezert- Smarandache (DSmT) is used to take into account the paradoxical character through the intersections of vegetation, aquatic and mineral surfaces. In order to do this, we developed a classification model of pixels by aggregating information using the DSmT theory based on the PCR5 rule using the NDVI, MNDWI and NDBaI spectral indices obtained from the ASTER satellite images. On the qualitative level, the model produced...
Dezert-Smarandache Theory of plausible and paradoxist reasoning
by D.PonJenifer; Mr. Y.R.Packia Dhas
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Aircraft recognition plays an important role in image processing. Recognition processor is used to extract the shape of aircraft. Recognition is done using various algorithms. In this paper eight types of recognition algorithm are discussed.