Uncertainty Data in Interval-Valued Fuzzy Set Theory - Properties, Algorithms and Applications (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 367
Release date:	July 2018
First published:	2019
Authors:	Barbara Pekala
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	181
Edition:	1st ed. 2019
ISBN-13:	978-3-319-93909-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	3-319-93909-2
Barcode:	9783319939094

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!