Fuzzy Mathematics

ISBN 10: 303897322X / ISBN 13: 9783038973225

Published by Mdpi AG Nov 2018, 2018

About this Item

Neuware - 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.

Seller Inventory # 9783038973225

Bibliographic Details

• Title: Fuzzy Mathematics
• Publisher: Mdpi AG Nov 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 303897322X
• ISBN 13: 9783038973225
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 20D millimeters 244 millimeters width by 170 millimeters height by 20 millimeters depth
• Weight: 617 grams

About this title

Synopsis

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.