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The two fuzzy C-Medoids clustering methods, based on the same suitable exponential transformation of the Kemeny distance, belong to two different approaches and differ in the way they introduce the fuzziness in the membership matrix, the one based on the \u201cm\u201d exponent and the other on the Shannon entropy. As far as the Kemeny distance is concerned, it is equivalent to the Kendall distance in the case of complete rankings but differs from the latter in the way of handling tied rankings. Simulations prove that our methods are able to recover the natural structure of the groups neutralizing the effect of possible noises and outliers. Two applications to real datasets are also provided.<\/jats:p>","DOI":"10.1007\/s00357-022-09420-0","type":"journal-article","created":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T00:02:17Z","timestamp":1665100937000},"page":"600-647","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data"],"prefix":"10.1007","volume":"39","author":[{"given":"Pierpaolo","family":"D\u2019Urso","sequence":"first","affiliation":[]},{"given":"Vincenzina","family":"Vitale","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,7]]},"reference":[{"issue":"1","key":"9420_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0022-247X(66)90071-0","volume":"13","author":"R Bellman","year":"1966","unstructured":"Bellman, R., Kalaba, R., & Zadeh, L. (1966). Abstraction and pattern classification. 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