Fuzzy Logic in Its 50th Year
New Developments, Directions and Challenges
(Sprache: Englisch)
This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative...
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This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions.Inhaltsverzeichnis zu „Fuzzy Logic in Its 50th Year “
Fuzzy Sets Theory: From the Past to the Future.- Mathematics Of Fuzzy Sets.- Fuzzy Sets in Branches of Science.- Applications of Fuzzy Sets.
Bibliographische Angaben
- 2018, Softcover reprint of the original 1st ed. 2016, XIV, 404 Seiten, 16 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Cengiz Kahraman, Uzay Uzay Kaymak, Adnan Yazici
- Verlag: Springer, Berlin
- ISBN-10: 3319809628
- ISBN-13: 9783319809625
Sprache:
Englisch
Pressezitat
"This volume celebrates a half century of progress in the research and applications of fuzzy set theory and fuzzy logic. ... All of the papers in this volume receive high marks for quality of presentation, critical analysis, careful mathematics, well-developed examples with sample data , and extensive review of the literature." (Anthony J. Duben, Computing Reviews, March, 2017)Kommentar zu "Fuzzy Logic in Its 50th Year"
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