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Hybrid Soft Computing Models Applied To Graph Theory 1st Ed Muhammad Akram

  • SKU: BELL-10486990
Hybrid Soft Computing Models Applied To Graph Theory 1st Ed Muhammad Akram
$ 31.00 $ 45.00 (-31%)

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Hybrid Soft Computing Models Applied To Graph Theory 1st Ed Muhammad Akram instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 12.47 MB
Author: Muhammad Akram, Fariha Zafar
ISBN: 9783030160197, 9783030160203, 303016019X, 3030160203
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Hybrid Soft Computing Models Applied To Graph Theory 1st Ed Muhammad Akram by Muhammad Akram, Fariha Zafar 9783030160197, 9783030160203, 303016019X, 3030160203 instant download after payment.

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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