Fuzzy Mathematics

This book provides a timely overview of topics in fuzzy mathematics. It lays the foundation for further research and applications in a broad range of areas. It contains break-through analysis on how results from the many variations and extensions of fuzzy set theory can be obtained from known result...

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Bibliographic Details
Main Author: John Mordeson
Other Authors: Etienne E. Kerre
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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100 1 |a John Mordeson 
245 0 0 |a Fuzzy Mathematics  |h Elektronische Ressource 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2018 
300 |a 1 electronic resource (286 p.) 
653 |a neutrosophic fuzzy sets 
653 |a intuitionistic fuzzy sets 
653 |a fuzzy semigroups 
653 |a credibility measure 
653 |a fuzzy topological spaces 
653 |a fuzzy linear systems 
653 |a possibilistic models 
653 |a hypergraphs 
653 |a pattern classi.cation 
653 |a fuzzy decision making 
653 |a fuzzy BCK/BCI algebras 
653 |a fuzzy set theory 
653 |a N-hyper sets 
653 |a lattice isomorphism 
653 |a nilpotent fuzzy groups 
700 1 |a Etienne E. Kerre 
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856 4 2 |u https://directory.doabooks.org/handle/20.500.12854/48245  |z DOAB: description of the publication 
520 |a This book provides a timely overview of topics in fuzzy mathematics. It lays the foundation for further research and applications in a broad range of areas. It contains break-through analysis on how results from the many variations and extensions of fuzzy set theory can be obtained from known results of traditional fuzzy set theory. The book contains not only theoretical results, but a wide range of applications in areas such as decision analysis, optimal allocation in possibilistics and mixed models, pattern classification, credibility measures, algorithms for modeling uncertain data, and numerical methods for solving fuzzy linear systems. The book offers an excellent reference for advanced undergraduate and graduate students in applied and theoretical fuzzy mathematics. Researchers and referees in fuzzy set theory will find the book to be of extreme value.