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New book details fuzzy, neutrosophic graph theory applications

A new book titled "Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications" has been published on arXiv. This work systematically surveys graph theory concepts under various uncertainty models, including fuzzy and neutrosophic frameworks. It details theoretical advancements and explores practical applications in areas such as molecular graphs, decision-making, and knowledge graphs. AI

IMPACT Details advancements in graph theory under uncertainty, relevant for knowledge graphs and graph neural networks.

RANK_REASON The cluster contains a newly published academic book detailing theoretical advancements and applications in a specific area of computer science. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Takaaki Fujita, Florentin Smarandache ·

    Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications

    arXiv:2605.23936v1 Announce Type: new Abstract: This book presents a comprehensive and systematic survey of graph theory under uncertainty, with particular emphasis on the unifying role of the uncertain graph framework. It reviews fundamental concepts, structural properties, grap…