Qualitative Belief Conditioning Rules (QBCR)

Qualitative Belief Conditioning Rules (QBCR) PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 13

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Book Description
In this paper we extend the new family of (quantitative) Belief Conditioning Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their qualitative counterpart for belief revision.

Qualitative Belief Conditioning Rules (QBCR)

Qualitative Belief Conditioning Rules (QBCR) PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 13

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Book Description
In this paper we extend the new family of (quantitative) Belief Conditioning Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their qualitative counterpart for belief revision.

Analysis of DSm belief conditioning rules and extension of their applicability

Analysis of DSm belief conditioning rules and extension of their applicability PDF Author: Milan Daniel
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 22

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Book Description
Analysis of belief conditioning rules (BCRs) is presented in this chapter. Some simplifications of formulas for BCRs are suggested. A comparison of BCRs with classic rules of conditioning is performed. Finally, definition domains and applicability of BCRs are extended. Full formal definition of the extended version of BCR12 is presented.

General Combination Rules for Qualitative and Quantitative Beliefs

General Combination Rules for Qualitative and Quantitative Beliefs PDF Author: ARNAUD MARTIN
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23

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Book Description
Martin and Osswald have recently proposed many generalizations of combination rules on quantitative beliefs in order to manage the conflict and to consider the specificity of the responses of the experts. Since the experts express themselves usually in natural language with linguistic labels, Smarandache and Dezert have introduced a mathematical framework for dealing directly also with qualitative beliefs. In this paper we recall some element of our previous works and propose the new combination rules, developed for the fusion of both qualitative or quantitative beliefs.

Enrichment of Qualitative Beliefs for Reasoning under Uncertainty

Enrichment of Qualitative Beliefs for Reasoning under Uncertainty PDF Author: Xinde Li
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels.

Multispace & Multistructure. Neutrosophic Transdisciplinarity (100 Collected Papers of Science)

Multispace & Multistructure. Neutrosophic Transdisciplinarity (100 Collected Papers of Science) PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN: 9526734920
Category : Science
Languages : en
Pages : 802

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Book Description
This is an eclectic tome of 100 papers in various fields of sciences, alphabetically listed, such as: astronomy, biology, calculus, chemistry, computer programming codification, economics and business and politics, education and administration, game theory, geometry, graph theory,information fusion, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, psychology, quantum physics, scientific research methods, and statistics ¿ containing 800 pages.It was my preoccupation and collaboration as author, co-author, translator, or co-translator, and editor with many scientists from around the world for long time. Many ideas from this book are to be developed and expanded in future explorations.

Advances and Applications of DSmT for Information Fusion, Vol. 3

Advances and Applications of DSmT for Information Fusion, Vol. 3 PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN: 1599730731
Category : Science
Languages : en
Pages : 760

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Book Description
This volume has about 760 pages, split into 25 chapters, from 41 contributors. First part of this book presents advances of Dezert-Smarandache Theory (DSmT) which is becoming one of the most comprehensive and flexible fusion theory based on belief functions. It can work in all fusion spaces: power set, hyper-power set, and super-power set, and has various fusion and conditioning rules that can be applied depending on each application. Some new generalized rules are introduced in this volume with codes for implementing some of them. For the qualitative fusion, the DSm Field and Linear Algebra of Refined Labels (FLARL) is proposed which can convert any numerical fusion rule to a qualitative fusion rule. When one needs to work on a refined frame of discernment, the refinement is done using Smarandache¿s algebraic codification. New interpretations and implementations of the fusion rules based on sampling techniques and referee functions are proposed, including the probabilistic proportional conflict redistribution rule. A new probabilistic transformation of mass of belief is also presented which outperforms the classical pignistic transformation in term of probabilistic information content. The second part of the book presents applications of DSmT in target tracking, in satellite image fusion, in snow-avalanche risk assessment, in multi-biometric match score fusion, in assessment of an attribute information retrieved based on the sensor data or human originated information, in sensor management, in automatic goal allocation for a planetary rover, in computer-aided medical diagnosis, in multiple camera fusion for tracking objects on ground plane, in object identification, in fusion of Electronic Support Measures allegiance report, in map regenerating forest stands, etc.

Fusion of qualitative information using imprecise 2 -tuple labels

Fusion of qualitative information using imprecise 2 -tuple labels PDF Author: Xinde Li
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 25

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Book Description
In this chapter, Herrera-Martınez 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) or from Dempster-Shafer Theory (DST) frameworks.

Fusion of imprecise qualitative information

Fusion of imprecise qualitative information PDF Author: Xinde Li
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
In this paper, we present a new 2-tuple linguistic representation model, i.e. Distribution Function Model (DFM), for combining imprecise qualitativeinformation using fusion rules drawn from Dezert-Smarandache Theory (DSmT) framework.

Non-numeric labels and constrained focal elements

Non-numeric labels and constrained focal elements PDF Author: Christophe Osswald
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 24

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Book Description
The theory of belief functions allows to build a large family of combination operators, based mostly on intersections and unions between the focal elements expressed by the experts, and multiplications and additions on the masses affected to these focal elements.

Neutrosophy

Neutrosophy PDF Author: Florentin Smarandache
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 110

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Book Description