Connectives and quantifiers in fuzzy sets
type: Item
instance of: scholarly article
title: Connectives and quantifiers in fuzzy sets
zbMATH Open document ID: 0725.03033
DOI: 10.1016/0165-0114(91)90046-S
author: Ronald R. Yager
published in: Fuzzy Sets and Systems
publication date: 1991-01-01T00:00:00Z
review text: It is a very important problem, how to select appropriate operators for implementing the union and intersection of fuzzy sets. This depends on a number of criteria for the selection. This paper discusses the problem based on extension principles and provides a structure for aggregating linguistic variables in the theory of approximate reasoning. I feel that the paper is of value for applications in many fields such as expert systems, linguistic summarizers, syllogistic reasoning and multi-criteria decision-making.
reviewed by: Hongxing Li
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 4195932
zbMATH Keywords: connectives
zbMATH Keywords: quantifiers
zbMATH Keywords: operators for fuzzy sets
zbMATH Keywords: syllogisms
zbMATH Keywords: union
zbMATH Keywords: intersection
zbMATH Keywords: extension principles
zbMATH Keywords: linguistic variables
zbMATH Keywords: approximate reasoning
zbMATH Keywords: multi-criteria decision-making
MaRDI profile type: Publication
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