Abstract
The paper presents an intuitionistic fuzzy synthetic measure for ordinal data based on Hellwig’s pattern of the development method. The intuitionistic fuzzy synthetic measure allows for a comparative analysis of objects due to the complex phenomenon described by ordinal measurement scales. It also allows for taking into account the uncertainty in comparing objects expressed in the form of neutral points on the ordinal measurement scales. The proposed approach is a part of the research into ordinal data using the fuzzy set theory. The method of the construction of the proposed synthetic measure was presented on the example of the subjective quality of life research of the residents of the communes of the Kraina Łęgów Odrzańskich region in Poland.
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Jefmański, B. (2020). Intuitionistic Fuzzy Synthetic Measure for Ordinal Data. In: Jajuga, K., Batóg, J., Walesiak, M. (eds) Classification and Data Analysis. SKAD 2019. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-030-52348-0_4
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