Fuzzy sets and expert systems
type: Item
instance of: scholarly article
title: Fuzzy sets and expert systems
zbMATH Open document ID: 0583.68048
DOI: 10.1016/0020-0255(85)90028-3
author: B. George
published in: Information Sciences
publication date: 1985-01-01T00:00:00Z
review text: The paper is addressed to studies of several ways of using fuzzy sets, especially fuzzy logic in expert systems to cope with different forms of uncertainty. This uncertainty is attached to probability values (linguistic probabilities) and attribute values. A treatment of theories of dispositions, Bayesian decision making studied in expert systems, incomplete knowledge representation and evidence theory with a special attention paid to their mathematical as well as applicational aspects is presented. Relevant examples are formulated with the aid of FPROLOG - forming an extension of PROLOG equipped with an ability to handle uncertainty.
Mathematics Subject Classification ID: 68T99
zbMATH DE Number: 3934433
zbMATH Keywords: fuzzy logic
zbMATH Keywords: uncertainty
zbMATH Keywords: theories of dispositions
zbMATH Keywords: Bayesian decision making
zbMATH Keywords: incomplete knowledge representation
zbMATH Keywords: evidence theory
zbMATH Keywords: extension of PROLOG
describes a project that uses: FPROLOG
MaRDI profile type: Publication
full work available at URL: 0020-0255(85)90028-3
OpenAlex ID: W1970413152
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description: scientific article; zbMATH DE number 3934433