Dymova, L.D. and Sevastjanov, P. (2010) An Interpretation of Intuitionistic Fuzzy Sets in Terms of Evidence Theory: Decision Making Aspect. Knowledge-Based Systems, 23, 772-782.
http://dx.doi.org/10.1016/j.knosys.2010.04.014

has been cited by the following article:

• TITLE: A New Definition of Intuitionistic Fuzzy Similarity Degree

  AUTHORS: Qun Liu, Changhuan Feng

  KEYWORDS: Intuitionistic Fuzzy Sets, Similarity Degree, Fuzzy Similarity Matrix, Clustering Analysis

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.1, February 16, 2016

  ABSTRACT: As far as the problem of intuitionistic fuzzy cluster analysis is concerned, this paper proposes a new formula of similarity degree with attribute weight of each index. We conduct a fuzzy cluster analysis based on the new intuitionistic fuzzy similarity matrix, which is constructed via this new weighted similarity degree method and can be transformed into a fuzzy similarity matrix. Moreover, an example is given to demonstrate the feasibility and validity of this method.