A FUZZY SET-THEORETIC FRAMEWORK FOR KNOWLEDGE-BASED SIMULATION

Authors
ROGERS SH BADIRU AB
Citation
Sh. Rogers et Ab. Badiru, A FUZZY SET-THEORETIC FRAMEWORK FOR KNOWLEDGE-BASED SIMULATION, Computers & industrial engineering, 25(1-4), 1993, pp. 119-122
Citations number
7
Categorie Soggetti
Computer Application, Chemistry & Engineering",Engineering,"Computer Applications & Cybernetics
Journal title
Computers & industrial engineering → ACNP
ISSN journal
03608352
Volume
25
Issue
1-4
Year of publication
1993
Pages
119 - 122
Database
ISI
SICI code
0360-8352(1993)25:1-4<119:AFSFFK>2.0.ZU;2-R
Abstract
Complex systems such as an industrial enterprise operating in a physic al, biological, socioeconomic environment generally have many ill defi ned or imprecisely known parameters which are typically approximated b y exact numbers or represented with random variables. Fuzzy set theory is a promising alternative for explicitly treating these aspects of a system. This paper describes a fuzzy set theoretic formalism for know ledge-based simulations. A prototype system is being implemented in Ma thematica.