A framework for choosing an appropriate fuzzy set extension in modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04244-2.pdf
Reference66 articles.
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3. Padrón-Tristán JF, Cruz-Reyes L, Espín-Andrade RA, Llorente-Peralta CE (2021) A brief review of performance and interpretability in fuzzy inference systems. In: Zapata-Cortes JA, Alor-Hernández G, Sánchez-Ramírez C, García-Alcaraz JL (eds) New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques. Studies in Computational Intelligence, vol 966. Springer, Cham, pp 237–266. https://doi.org/10.1007/978-3-030-71115-3_11
4. Kaya İ, Çolak M, Terzi F (2019) A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strateg Rev 24:207–228
5. Mardani A, Nilashi M, Zavadskas EK, Awang SR, Zare H, Jamal NM (2018) Decision making methods based on fuzzy aggregation operators: three decades review from 1986 to 2017. Int J Inf Technol Decis Mak 17(2):391–466
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