Hybrid Soft Computing Models Applied to Graph Theory

Language: English

Published by Springer, Springer Apr 2019, 2019

303016019X / 9783030160197

Series: Book 147 of 183 - Studies in Fuzziness and Soft Computing

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch. …

Seller Inventory # 9783030160197

Title
Hybrid Soft Computing Models Applied to Graph Theory
Author
Muhammad Akram
Publisher
Springer, Springer Apr 2019
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303016019X
ISBN 13
9783030160197
Item weight
852 grams
Dimensions
241x160x31 mm
Series
Book 147 of 183: Studies in Fuzziness and Soft Computing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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First itemUS$ 68.29US$ 85.36
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