Download PDF by editors F. Smarandache & J. Dezert: Advances and Applications of DSmT for Information Fusion,

By editors F. Smarandache & J. Dezert

ISBN-10: 1599730731

ISBN-13: 9781599730738

This quantity has approximately 760 pages, break up into 25 chapters, from forty-one members. First a part of this publication provides advances of Dezert-Smarandache idea (DSmT) that's turning into the most accomplished and versatile fusion idea in accordance with trust features. it might paintings in all fusion areas: strength set, hyper-power set, and super-power set, and has a variety of fusion and conditioning ideas that may be utilized reckoning on each one program. a few new generalized ideas are brought during this quantity with codes for imposing a few of them. For the qualitative fusion, the DSm box and Linear Algebra of subtle Labels (FLARL) is proposed that may convert any numerical fusion rule to a qualitative fusion rule. while one must paintings on a polished body of discernment, the refinement is finished utilizing Smarandache s algebraic codification. New interpretations and implementations of the fusion principles according to sampling ideas and referee services are proposed, together with the probabilistic proportional clash redistribution rule. a brand new probabilistic transformation of mass of trust is usually offered which outperforms the classical pignistic transformation in time period of probabilistic info content material. the second one a part of the e-book provides functions of DSmT in objective monitoring, in satellite tv for pc photograph fusion, in snow-avalanche probability evaluate, in multi-biometric fit rating fusion, in evaluate of an characteristic info retrieved in line with the sensor information or human originated info, in sensor administration, in automated target allocation for a planetary rover, in computer-aided clinical prognosis, in a number of digital camera fusion for monitoring gadgets on flooring airplane, in item identity, in fusion of digital help Measures allegiance document, in map regenerating woodland stands, and so forth.

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Extra resources for Advances and Applications of DSmT for Information Fusion, Collected Works, Vol. 3

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N which can potentially overlap. This model is free because no other assumption is done on the hypotheses, but the weak exhaustivity constraint which can always be satisfied according the closure principle explained in [32]. No other constraint is involved in the free DSm model. When the free DSm model holds, the commutative and associative classical DSm rule of combination, denoted DSmC, corresponding to the conjunctive consensus defined on the free Dedekind’s lattice is performed. Depending on the nature of the elements of the fusion problem under consideration, it can happen that the free model does not fit with the reality because some subsets of Θ can contain elements known to be truly exclusive and even possibly truly non existing at a given time (specially in dynamic fusion problems where the frame Θ changes with time with the revision of the knowledge available).

1 2 3 .... ¬θ1 ∧ θ2 ∧ θ3 .... ¬θ1 ∧ ¬θ2 ∧ θ3.... ... . .. ... ... ... . . p2 p23 p3 ... .. ... .. ... .... .... .... .... ..... . . . . . . ...... ..... ...... ........ ........ .......... .............................................. 2: Venn diagram of the free DSm model for a 3D frame. Because of Shafer’s equivalence of subsets and propositions, Cholvy’s logical refinement is strictly equivalent to the refinement we did already in 2006 in defining S Θ - see Chap.

1 12 ... 2 ... ... . . ... . . ... . . . ... ... ... .. ... ... ... ... ... . . . ... .. ... ... .... .... ..... ..... ...... ..... ...... . . . . . . ....... ......... ............................ ... 1: Venn diagram of a free DSm model for a 2D frame. θ1 = A ∪ C, θ2 = B ∪ C, θ1 ∩ θ2 = C Then the classical power set of Θref is given by 2Θ ref = {∅, A, B, C, A ∪ B, A ∪ C, B ∪ C, A ∪ B ∪ C} We see that we can define easily a one-to-one correspondence, written ∼, between all the elements of the super-power set S Θ and the elements of the power ref as follows: set 2Θ ∅ ∼ ∅, (θ1 ∩θ2 ) ∼ C, θ1 ∼ (A∪C), c(θ1 ∩ θ2 ) ∼ (A ∪ B), θ2 ∼ (B ∪C), c(θ1 ) ∼ B, (θ1 ∪θ2 ) ∼ (A∪B ∪C) c(θ2 ) ∼ A ref Such one-to-one correspondence between the elements of S Θ and 2Θ can be defined for any cardinality |Θ| ≥ 2 of the frame Θ and thus one can consider ref S Θ as the mathematical construction of the power set 2Θ of the minimal refinement of the frame Θ.

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Advances and Applications of DSmT for Information Fusion, Collected Works, Vol. 3 by editors F. Smarandache & J. Dezert

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