Fuzzy rough digraph based on strength of connectedness with application
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08325-2.pdf
Reference45 articles.
1. Akram M, Shahzadi S (2018) Novel intuitionistic fuzzy soft multiple-attribute decision-making methods. Neural Comput Appl 29:435–447
2. Akram M, Arshad M, Shumaiza (2018) Fuzzy rough graph theory with applications. Int J Comput Intell Syst 12:90–107
3. Akram M, Shumaiza Arshad M (2018) A new approach based on fuzzy rough digraphs for decision-making. J Intell Fuzzy Syst 35:2105–2121
4. Amanathulla S, Bera B, Pal M (2021) Balanced picture fuzzy graph with application. Artif Intell Rev 54:5255–5281
5. Baets BD, Meyer HD (2003) On the existence and construction of $$T$$-transitive closures. Inf Sci 152:167–179
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