نتایج جستجو برای: dsmt

تعداد نتایج: 128  

2011
Jean-Marc Tacnet Jean Dezert Mireille Batton-Hubert

In this paper, we present the ER-MCDA methodology for multi-criteria decision-making based on imperfect information coming from more or less reliable and conflicting sources. The Analytic Hierarchy Process (AHP ), Fuzzy Sets, Possibility and Belief Functions theories are combined to take a decision based on imprecise and uncertain evaluations of quantitative, qualitative criteria. Classical agg...

2004
Jean Dezert Florentin Smarandache

In this paper one studies, within Dezert-Smarandache Theory (DSmT), the case when the sources of information provide imprecise belief functions/masses, and we generalize the DSm rules of combination (classic or hybrid rules) from scalar fusion to sub-unitary interval fusion and, more general, to any set of sub-unitary interval fusion. This work generalizes previous works available in literature...

2004
Jean Dezert Florentin Smarandache

This paper presents several classes of fusion problems which cannot be directly attacked by the classical mathematical theory of evidence, also known as the Dempster-Shafer Theory (DST) either because the Shafer’s model for the frame of discernment is impossible to obtain or just because the Dempster’s rule of combination fails to provide coherent results (or no result at all). We present and d...

2011
Jean Dezert Albena Tchamova

In this paper we present simple examples showing the insensitivity of Dempster’s rule of combination proposed in Dempster-Shafer Theory (DST) of evidence with respect to the level of conflict between two sources of evidences. Aside famous Zadeh’s example on the validity of Dempster’s rule of combination, it is shown that for an infinite number of cases Dempster’s rule does not respond adequatel...

2016
Jean Dezert Florentin Smarandache Mohammad Khoshnevisan

This chapter presents several classes of fusion problems which cannot be directly approached by the classical mathematical theory of evidence, also known as Dempster-Shafer Theory (DST), either because Shafer’s model for the frame of discernment is impossible to obtain, or just because Dempster’s rule of combination fails to provide coherent results (or no result at all). We present and discuss...

2012
CHENGUANG LIU

The Automatic Identification System (AIS) is essential digital communication equipment for maritime safety in inland rivers. The occasional error of GNSS (Global Navigation Satellite System) devices in the AIS equipment will make the terminal send fake dynamic information discontinuously, which needs to be distinguished manually. With the help of the DSmT method, gathering and qualifying the sh...

2012
Azeddine Elhassouny Soufiane Idbraim Aissam Bekkari Driss Mammass Danielle Ducrot

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 tra...

2003
Jean Dezert Florentin Smarandache Albena Tchamova

Modern multitarget-multisensor tracking systems involve the development of reliable methods for the data association and the fusion of multiple sensor information, and more specifically the partioning of observations into tracks. This paper discusses and compares the application of Dempster-Shafer Theory (DST) and the Dezert-Smarandache Theory (DSmT) methods to the fusion of multiple sensor att...

2004
Jean Dezert Florentin Smarandache

In this paper, one studies the famous well-known and challenging Tweety Penguin Triangle Problem (TPTP or TP2) pointed out by Judea Pearl in one of his books. We first present the solution of the TP2 based on the fallacious Bayesian reasoning and prove that reasoning cannot be used to conclude on the ability of the penguin-bird Tweety to fly or not to fly. Then we present in details the counter...

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