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Uncertainty Data in Interval-Valued Fuzzy Set Theory PDF

191 Pages·2019·2.134 MB·English
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by Barbara Pękala| 2019| 191 pages| 2.134| English

About Uncertainty Data in Interval-Valued Fuzzy Set Theory

This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.

Detailed Information

Author:Barbara Pękala
Publication Year:2019
Pages:191
Language:English
File Size:2.134
Format:PDF
Price:FREE
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