Fusion Of Qualitative Information Using Imprecise 2 Tuple Labels
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Fusion of qualitative information using imprecise 2 -tuple labels
Author | : Xinde Li |
Publisher | : Infinite Study |
Total Pages | : 25 |
Release | : |
Genre | : |
ISBN | : |
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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 qualitative information using imprecise 2 -tuple labels Related Books
Language: en
Pages: 25
Pages: 25
Type: BOOK - Published: - Publisher: Infinite Study
In this chapter, Herrera-Martınez 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn
Language: en
Pages: 12
Pages: 12
Type: BOOK - Published: - Publisher: Infinite Study
In this paper, we present a new 2-tuple linguistic representation model, i.e. Distribution Function Model (DFM), for combining imprecise qualitativeinformation
Language: en
Pages: 760
Pages: 760
Type: BOOK - Published: 2004 - Publisher: Infinite Study
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) whi
Language: en
Pages: 12
Pages: 12
Type: BOOK - Published: - Publisher: Infinite Study
Modern systems for information retrieval, fusion and management need to deal more and more with information coming from human experts usually expressed qualitat
Language: en
Pages: 8
Pages: 8
Type: BOOK - Published: - Publisher: Infinite Study
This paper introduces the DezertSmarandache (DSm) Field and Linear Algebra of Refined Labels (FLARL) useful for dealing accurately with qualitative information