New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance
Summary
New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance is a scholarly article[1].
Key Facts
New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Retrieved May 24, 2026, from https://4ort.xyz/entity/new-closeness-coefficients-for-fuzzy-similarity-based-fuzzy-topsis-an-approach-combining-fuzzy-entropy-and-multidistance
MLA“New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/new-closeness-coefficients-for-fuzzy-similarity-based-fuzzy-topsis-an-approach-combining-fuzzy-entropy-and-multidistance.
BibTeX@misc{4ortxyz_new-closeness-coefficients-for-fuzzy-similarity-based-fuzzy-topsis-an-approach-combining-fuzzy-entropy-and-multidistance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance}}, year = {2026}, url = {https://4ort.xyz/entity/new-closeness-coefficients-for-fuzzy-similarity-based-fuzzy-topsis-an-approach-combining-fuzzy-entropy-and-multidistance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance — https://4ort.xyz/entity/new-closeness-coefficients-for-fuzzy-similarity-based-fuzzy-topsis-an-approach-combining-fuzzy-entropy-and-multidistance (retrieved 2026-05-24)
