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Titlebook: Advanced Topics in Fuzzy Graph Theory; John N. Mordeson,Sunil Mathew Book 2019 Springer Nature Switzerland AG 2019 Average Connectivity In

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發(fā)表于 2025-3-21 18:29:11 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Topics in Fuzzy Graph Theory
影響因子2023John N. Mordeson,Sunil Mathew
視頻videohttp://file.papertrans.cn/147/146373/146373.mp4
發(fā)行地址Discusses advanced research topics such as connectivity and t-norm fuzzy graphs.Includes a brief introduction to the field of fuzzy sets for newcomers.Describes interesting applications to hot real-wo
學(xué)科分類Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Advanced Topics in Fuzzy Graph Theory;  John N. Mordeson,Sunil Mathew Book 2019 Springer Nature Switzerland AG 2019 Average Connectivity In
影響因子.This book builds on two recently published books by the same authors on fuzzy graph theory. Continuing in their tradition, it provides readers with an extensive set of tools for applying fuzzy mathematics and graph theory to social problems such as human trafficking and illegal immigration. Further, it especially focuses on advanced concepts such as connectivity and Wiener indices in fuzzy graphs, distance, operations on fuzzy graphs involving t-norms, and the application of dialectic synthesis in fuzzy graph theory. Each chapter also discusses a number of key, representative applications. Given its approach, the book provides readers with an authoritative, self-contained guide to – and at the same time an inspiring read on – the theory and modern applications of fuzzy graphs. For newcomers, the book also includes a brief introduction to fuzzy sets, fuzzy relations and fuzzy graphs. .
Pindex Book 2019
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https://doi.org/10.1007/978-3-030-04215-8Average Connectivity Index; T-connected Graphs; Average Fuzzy Vertex Connectivity; Models of Real World
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Biorthogonal Systems in Nonseparable Spaces,t path problems in transportation networks, maximum band width and bottleneck problems in computer networks, etc. are well known. These problems existed in applied fields long before, in procedural and algorithmic forms. But after the introduction of fuzzy graphs, a better solid mathematical theory
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https://doi.org/10.1007/978-0-387-68915-9tion, cluster analysis, and control theory [183, 184, 216]. Applications of fuzzy graph theory have found their way into environmental science, social science, geography, and linguistics [33]. Other application areas are traffic light control [190], traffic control [86], job allocation [243], and gr
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