Hybrid Soft Computing Models Applied to Graph Theory

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. Front Matter ....Pages i-xxv Rough Fuzzy Graphs (Muhammad Akram, Fariha Zafar)....Pages 1-77 Fuzzy Rough Graphs (Muhammad Akram, Fariha Zafar)....Pages 79-128 Intuitionistic Fuzzy Rough Graphs (Muhammad Akram, Fariha Zafar)....Pages 129-209 Fuzzy Soft Graphs (Muhammad Akram, Fariha Zafar)....Pages 211-259 Intuitionistic Fuzzy Soft Graphs (Muhammad Akram, Fariha Zafar)....Pages 261-322 Soft Rough Fuzzy Graphs (Muhammad Akram, Fariha Zafar)....Pages 323-352 Bipolar Fuzzy Soft Graphs (Muhammad Akram, Fariha Zafar)....Pages 353-370 Soft Rough Neutrosophic Influence Graphs (Muhammad Akram, Fariha Zafar)....Pages 371-419 Back Matter ....Pages 421-434