2021 International Symposium on Networks, Computers and Communications, ISNCC 2021, Dubai, United Arab Emirates, 31 October - 02 November 2021
© 2021 IEEE.In this paper, linguistic summarization is used to summarize airport evaluations and passengers attributes. The relations between the airport features and the personal information of passengers are represented by Type-I and Type-II fuzzy quantified sentences. The linguistic summaries are generated considering two types of fuzzy sets (triangular or trapezoidal) with 3, 5 or 7 linguistic labels as well as using 3 types of quantifiers ('most', 'about half' or 'a few'). The degree of truth of generated summaries is calculated with both scalar cardinality and fuzzy cardinality in order to assess the quality of the summaries. The proposed system is evaluated using an airport survey dataset. The extracted simple and interpretable linguistic summaries reveal numerous useful ideas for airlines and passengers when considering an airport.