HOMOMORPHIC-LIKE RANDOM SET REPRESENTATIONS FOR FUZZY-LOGIC MODELS USING EXPONENTIATION WITH APPLICATIONS TO DATA FUSION

Authors
GOODMAN IR
Citation
Ir. Goodman, HOMOMORPHIC-LIKE RANDOM SET REPRESENTATIONS FOR FUZZY-LOGIC MODELS USING EXPONENTIATION WITH APPLICATIONS TO DATA FUSION, Information sciences, 113(1-2), 1999, pp. 85-112
Citations number
14
Categorie Soggetti
Computer Science Information Systems","Computer Science Information Systems
Journal title
Information sciences → ACNP
ISSN journal
00200255
Volume
113
Issue
1-2
Year of publication
1999
Pages
85 - 112
Database
ISI
SICI code
0020-0255(1999)113:1-2<85:HRSRFF>2.0.ZU;2-Q
Abstract
This paper shows that relational event algebra and one-point random se t coverage representations of fuzzy logic can be combined to produce h omomorphic-like representations for fuzzy logic models which utilize m odifiers in the form of exponentiations. It is demonstrated that these representations are quite tractable in many cases and serves as a nat ural link between a core part of fuzzy logic and probability. (C) 1999 Elsevier Science Inc. All rights reserved.