| 书目名称 | Hybrid Soft Computing Models Applied to Graph Theory | | 编辑 | Muhammad Akram,Fariha Zafar | | 视频video | | | 概述 | Explains how construct and use rough fuzzy digraphs.Describes applications to different sets of data and complex problems.Describes relevant extensions, such as soft rough neutrosophic graphs | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2020 | | 关键词 | Upper Approximate Fuzzy Digraphs; Underlying Crisp Digraph; Isomorphic Rough Fuzzy Digraphs; Irregular | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-16020-3 | | isbn_ebook | 978-3-030-16020-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:09:27
