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Intuitionistic fuzzy sets in questionnaire analysis

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  • Donata Marasini
  • Piero Quatto
  • Enrico Ripamonti

Abstract

Fuzzy sets represent an extension of the concept of set, used to mathematically model veiled and indefinite concepts, such as those of youth, poverty, customer satisfaction and so on. Fuzzy theory introduces a membership function, expressing the degree of membership of the elements to a set. Intuitionistic fuzzy sets and hesitant fuzzy sets are two extensions of the theory of fuzzy sets, in which non-membership degrees and hesitations expressed by a set of experts are, respectively, introduced. In this paper, we apply intuitionistic fuzzy sets to questionnaire analysis, with a focus on the construction of membership, non-membership and uncertainty functions. We also suggest the possibility of considering intuitionistic hesitant fuzzy sets as a valuable theoretical framework. We apply these models to the evaluation of a Public Administration and we assess our results through a sensitivity analysis. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Donata Marasini & Piero Quatto & Enrico Ripamonti, 2016. "Intuitionistic fuzzy sets in questionnaire analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 767-790, March.
    • Handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:767-790
    DOI: 10.1007/s11135-015-0175-3
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    Cited by:

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    2. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2017. "Inferential confidence intervals for fuzzy analysis of teaching satisfaction," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1513-1529, July.
    3. Juan Carlos Martín & Alessandro Indelicato, 2023. "A fuzzy-hybrid analysis of citizens’ perception toward immigrants in Europe," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1101-1124, April.

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