Title : 
Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences
         
        
            Author : 
Szmidt, Eulalia ; Kacprzyk, Janusz
         
        
            Author_Institution : 
Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland
         
        
        
        
        
        
            Abstract : 
We propose a method to evaluate a degree (extent) of agreement in a group of experts (individuals) when individual testimonies are intuitionistic fuzzy preference relations, as opposed to traditional fuzzy preference relations commonly employed. Intuitionistic fuzzy preference relations, that in addition to a membership degree (from [0, 1]) include a hesitation margin concerning the membership degree (also from [0, 1]), can better reflect the very imprecision of testimonies (expressing preferences) of individuals during the consensus reaching process. Our solution is based on the calculation of distances between intuitionistic fuzzy preferences. A degree of group agreement is given as a number from [0, 1], where 0 means consensus (in a traditional sense), 1 means full disagreement (dissensus).
         
        
            Keywords : 
fuzzy logic; group decision support systems; consensus; disagreement; dissensus; group agreement; hesitation margin; intuitionistic fuzzy preference relations; membership degree; Decision making; Fuzzy sets; Testing;
         
        
        
        
            Conference_Titel : 
Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium
         
        
            Print_ISBN : 
0-7803-7134-8
         
        
        
            DOI : 
10.1109/IS.2002.1044249