Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing, 380)
Language: English
Published by Springer, 2019
Series: Book 147 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9783030160197_new
- Title
- Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing, 380)
- Author
- Akram, Muhammad; Zafar, Fariha
- Publisher
- Springer
- Publication year
- 2019
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 303016019X
- ISBN 13
- 9783030160197
- Item weight
- 941 grams
- Series
- Book 147 of 183: Studies in Fuzziness and Soft Computing
This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors’ research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers’ creativity thus offering a source of inspiration for future research.
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Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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