On an enhanced method for a more meaningful ranking of intuitionistic fuzzy alternatives

Authors:
Eulalia Szmidt;Janusz Kacprzyk
Affiliations:
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland and Warsaw School of Information Technology, Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland and Warsaw School of Information Technology, Warsaw, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Year:
2010

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Abstract

We consider an approach for ranking alternatives represented by Atanassov's intuitionistic fuzzy sets (A-IFSs) which takes into account not only the amount of information related to an alternative (expressed here by the normalized Hamming and the normalized Euclidean distances from the ideal positive alternative) but also the reliability of information (how sure the information is) expressed here by a so-called hesitation margin.