Imprecision and Uncertainty in Information Representation and Processing: New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets
Springer | Computational Intelligence and Complexity | January 23, 2016 | ISBN-10: 3319263013 | 414 pages | pdf | 10.1 mb
by Plamen Angelov (Editor), Sotir Sotirov (Editor)
Offers a snapshot of the state-of-the-art in the applications of intuitionistic fuzzy sets and generalized nets
Provides readers with a concise yet comprehensive overview of the underlying mathematical concepts
Discusses relevant examples and case studies
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.
Number of Illustrations and Tables
95 in colour
Topics
Computational Intelligence
Mathematical Applications in Computer Science
Operation Research/Decision Theory
Artificial Intelligence (incl. Robotics)
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