Hybrid Soft Computing Models Applied to Graph Theory: 380 (Studies in Fuzziness and Soft Computing, 380) - Image 1

£105.68

Springer Hybrid Soft Computing Models Applied to Graph Theory: 380 (Studies in Fuzziness and Soft Computing, 380)

Name: Hybrid Soft Computing Models Applied to Graph Theory: 380 (Studies in Fuzziness and Soft Computing, 380)
Brand: Springer
Price: 105.68 GBP
Availability: InStock

Managers' Guides to Computing

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Description

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.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 303016019X
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 16 April 2019
Listed Since: 19 February 2019

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Springer Hybrid Soft Computing Models Applied to Graph Theory: 380 (Studies in Fuzziness and Soft Computing, 380)

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