Imprecision and Uncertainty in Information Representation and Processing - New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets (Hardcover, 1st ed. 2016)

The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 332
Release date:	December 2015
First published:	2016
Editors:	Plamen Angelov • Sotir Sotirov
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	414
Edition:	1st ed. 2016
ISBN-13:	978-3-319-26301-4
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-26301-3
Barcode:	9783319263014

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