Title of paper:

Some remarks on assigning weights to experts in multiattribute group decision making using intuitionistic fuzzy sets

Author(s):

Eulalia Szmidt

Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01447 Warsaw, Poland Warsaw School of Information Technology, ul. Newelska 6, 01447 Warsaw, Poland

szmidtibspan.waw.pl

Janusz Kacprzyk

Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01447 Warsaw, Poland Warsaw School of Information Technology, ul. Newelska 6, 01447 Warsaw, Poland

szmidtibspan.waw.pl


Published in:

Notes on Intuitionistic Fuzzy Sets, Volume 26 (2020), Number 3, pages 43–51

DOI:

https://doi.org/10.7546/nifs.2020.26.3.4351

Download:

PDF (157 Kb, Info)

Abstract:

We discuss how to assign weights to the experts participating in group decision making in intuitionistic fuzzy environment which means that the options are expressed via intuitionistic fuzzy sets (IFSs, for short). We use the three term representation of the IFSs. A question arises if by making use of the expert’s opinions concerning a problem considered is it possible to assess the experts. The typical approaches from literature are recalled and discussed. Next, we propose two novel methods of assigning weights to experts. However, the methods are not ideal as starting from expert’s opinions concerning the options considered. Alas, while not knowing a real solution of a problem the experts try to solve, it is difficult to tell who is right and who is wrong whereas we do not have additional knowledge about the experts. The advantage of the method proposed is that we avoid assumptions about a real optimal solution which is not known. Instead, we pay attention if an expert is able to tell in a convincing way which option is good and which one is bad by pointing out pros and cons of an option in a definite way.

Keywords:

Intuitionistic fuzzy sets, Three term representation of IFSs, Multiattribute group decisionmaking, Assigning weights to the experts.

AMS Classification:

03E72, 34Gxx.

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