OBTAINING SOLUTIONS IN FUZZY CONSTRAINT NETWORKS

Authors
MARIN R CARDENAS MA BALSA M SANCHEZ JL
Citation
R. Marin et al., OBTAINING SOLUTIONS IN FUZZY CONSTRAINT NETWORKS, International journal of approximate reasoning, 16(3-4), 1997, pp. 261-288
Citations number
24
Categorie Soggetti
Computer Sciences","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
Journal title
International journal of approximate reasoning → ACNP
ISSN journal
0888613X
Volume
16
Issue
3-4
Year of publication
1997
Pages
261 - 288
Database
ISI
SICI code
0888-613X(1997)16:3-4<261:OSIFCN>2.0.ZU;2-B
Abstract
We propose three methods for obtaining solutions in fuzzy constraint n etworks and study their application to the problem of ordering fuzzy n umbers. The techniques proposed may be classified as defuzzification f unctions which are applicable to any set of mutually dependent fuzzy n umbers in which the dependence relationships are represented by means of metric constraints We suggest the use of these techniques for order ing linked variables in an efficient manner, and discuss their behavio r regarding several quality criteria. The first application realm of t hese techniques B temporal reasoning. (C) 1997 Elsevier Science Inc.