Quality & Quantity

, Volume 50, Issue 2, pp 767–790 | Cite as

Intuitionistic fuzzy sets in questionnaire analysis

  • Donata Marasini
  • Piero Quatto
  • Enrico Ripamonti


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.


Intuitionistic fuzzy sets Hesitant fuzzy sets Membership functions Non-membership functions Uncertainty functions Questionnaire analysis 


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Donata Marasini
    • 1
  • Piero Quatto
    • 1
  • Enrico Ripamonti
    • 1
  1. 1.Statistical Section, Department of Economics, Management and StatisticsUniversity of Milan-BicoccaMilanItaly

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