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Hybrid Soft Computing Models Applied to Graph Theory 2020 Edition
Contributor(s): Akram, Muhammad (Author), Zafar, Fariha (Author)
ISBN: 303016019X     ISBN-13: 9783030160197
Publisher: Springer
OUR PRICE:   $151.99  
Product Type: Hardcover
Published: April 2019
Qty:
Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
- Business & Economics | Operations Research
- Computers | Databases - Data Mining
Dewey: 006.3
Series: Studies in Fuzziness and Soft Computing
Physical Information: 1" H x 6.14" W x 9.21" (1.81 lbs) 434 pages
 
Descriptions, Reviews, Etc.
Publisher 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.