Florentin Smarandache, Jean Dezert's Advances and Applications of DSmT for Information Fusion PDF

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By Florentin Smarandache, Jean Dezert

ISBN-10: 1931233829

ISBN-13: 9781931233828

This e-book offers the new theoretical advances and functions of the Dezert-Smarandache thought (DSmT) of believable and paradoxical reasoning for info fusion. DSmT proposes a brand new mathematical framework to house the mix of doubtful, vague and hugely conflicting assets of knowledge expressed by way of generalized easy trust features. DSmT works past the boundaries of the Dempster-Shafer idea and proposes a brand new normal rule of mix which doesn't require a normalization step and works with any versions (free DSm, hybrid DSm and Shafer's version) regardless of the measure of clash among assets is. The DSmT is easily tailored for static and dynamic fusion problematics and permits to paintings on any finite frames (discrete, non-stop and/or hybrid). for that reason it may possibly mix trust capabilities whether the refinement of the body of discernment is inaccessible a result of obscure, relative, and obscure intrinsic nature of its components. half 1 of this publication offers in information the final investigations on DSmT but additionally a few comparable theoretical works with different methods for info fusion. half 2 of the e-book provides fascinating functions of DSmT for fixing either educational fusion difficulties and real-world fusion difficulties.

Collected works are via S. Corgne, F. Dambreville, M. Daniel, D. De Brucq, J. Dezert, M. Farooq, L. Hubert-Moy, A.-L. Jousselme, S. Kadambe, M. Khoshnevisan, P. D. Konstantinova, P. Maupin, G. Mercier, T. A. Semerdjiev, F. Smarandache, H. sunlight, A. P. Tchamova.

The publication has been introduced in June on the Fusion 2004 convention in Stockholm, Sweden.

A moment quantity approximately new purposes and advancements of DSmT (Dezert-Smarandache thought of believable, doubtful, and paradoxist details) can be released subsequent yr. anyone is invited to give a contribution papers or chapters for this moment collective publication. cut-off date: Fall 2005.

Contributed papers could be despatched to Dr. Jean Dezert (jean.dezert@onera.fr, jdezert@yahoo.com, ONERA - French nationwide institution for Aerospace study, BP seventy two F-92322, Chatillon Cedex, France) and Prof. Florentin Smarandache (smarand@unm.edu, collage of recent Mexico, 2 hundred collage street, Gallup, NM 87301, USA).

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Example text

Let’s consider Θ = {θ1 , θ2 , θ3 , θ4 } and assume that Shafer’s model holds. 0002 which is abnormal. 0002. In this case, Dubois & Prade’s rule gives the same results as the hybrid DSm rule. ). 9998. Both Yager’s and Smets’ results are less specific than the result obtained with the hybrid DSm rule. There is a loss of information somehow when using Yager’s or Smets’ rules. 5 Fifth example Suppose one extends Dubois & Prade’s rule from the power set 2Θ to the hyper-power set DΘ . ) term is missing): a) at least one singleton is empty and the element of its column are all non zero b) at least an union of singletons is empty and elements of its column are all non zero c) or at least an intersection is empty and the elements of its column are non zero 28 CHAPTER 1.

Representation and combination of uncertainty with belief functions and possibility measures, Computational Intelligence, 4, pp. 244-264, 1988. D. Thesis. Institut f¨ ur Informatik, Universit¨ at Freiburg. 1996. , Probabilistic Argumentation Systems, Tech. Report 99-9. Institute of Informatics, University of Fribourg. 1999. , Probabilistic Argumentation Systems: a New Perspective on DempsterShafer Theory, Tech. Report 01-30. Department of Informatics, University of Fribourg. 2001. , Probabilistic Argumentation Systems, Handbook of Defeasible Reasoning and Uncertainty Management Systems, Volume 5: Algorithms for Uncertainty and Defeasible Reasoning, pp.

E. the free DSm model comes from the fact that in some real-world applications observations/concepts are not unambiguous. The ambiguity of observations is explained by Goodman, Mahler and Nguyen in [9] pp. 43-44. Moreover, the ambiguity can also come from the granularity of knowledge, known as Pawlak’s indiscernability or roughness [15]. 2 The hyper-power set DΘ is defined as the set of all composite propositions built from elements of Θ with ∪ and ∩ (Θ generates DΘ under operators ∪ and ∩) operators such that 1.

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Advances and Applications of DSmT for Information Fusion by Florentin Smarandache, Jean Dezert


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