Abstract
We introduce a general equality index for two fuzzy values, proposing a parametric family of similarity measures between two fuzzy vectors, and investigating the mathematical properties. Subsequently we construct a class of parametric similarity measures, showing how the proposed approach extends and generalizes previously proposed framework in the context of decision making problem. The proposed approach can support decision maker under complex situations. An application of the proposed method is also given.
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Notes
- 1.
The probabilistic sum is the dual t-conorm of t-norm product \(T_P(a,b)=ab\).
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Anzilli, L., Giove, S. (2021). A New Proposal of Parametric Similarity Measures with Application in Decision Making. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_16
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DOI: https://doi.org/10.1007/978-3-030-80126-7_16
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