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Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making

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Fuzzy Logic and Technology, and Aggregation Operators (EUSFLAT 2023, AGOP 2023)

Abstract

This article investigates the use of two operational transformation techniques –that represent one interval-valued intuitionistic fuzzy number by two intuitionistic fuzzy numbers in a constructive manner– for the smooth aggregation of interval-valued intuitionistic fuzzy numbers, and for multi-attribute decision making in this framewok. Decisions and prioritizations are made by comparison laws involving the concepts of score and accuracy of an interval-valued intuitionistic fuzzy number. We show how these figures can be derived from the corresponding proxies for the intuitionistic fuzzy numbers that represent it. A comparative study concludes this investigation.

Alcantud is grateful to the Junta de Castilla y León and the European Regional Development Fund (Grant CLU-2019-03) for the financial support to the Research Unit of Excellence “Economic Management for Sustainability” (GECOS). The research of Santos-García was funded by the project ProCode-UCM (PID2019-108528RB-C22) from the Spanish Ministerio de Ciencia e Innovación.

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Correspondence to José Carlos R. Alcantud .

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Alcantud, J.C.R., Santos-García, G. (2023). Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_29

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  • DOI: https://doi.org/10.1007/978-3-031-39965-7_29

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