Hybrid soft computing models applied to graph theory

• 作者： Akram, Muhammad, author.
• 其他作者：
  • Zafar, Fariha, author.
  • SpringerLink (Online service)
• 其他題名：
  • Studies in fuzziness and soft computing ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Studies in fuzziness and soft computing,volume 380
• 主題： Fuzzy graphs. , Soft computing. , Computational Intelligence. , Operations Research, Management Science. , Data Mining and Knowledge Discovery. , Operations Research/Decision Theory.
• ISBN： 9783030160203 (electronic bk.) 、 9783030160197 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Rough Fuzzy Graphs -- Fuzzy Rough Graphs -- Intuitionistic Fuzzy Rough Graphs -- Fuzzy Soft Graphs -- Intuitionistic Fuzzy Soft Graphs -- Soft Rough Fuzzy Graphs -- Bipolar Fuzzy Soft Graphs -- Soft Rough Neutrosophic Influence Graphs.
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• 摘要註: 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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