Call for Papers for the 27th International Conference on Intuitionistic Fuzzy Sets is now open!
Conference: 5–6 July 2024, Burgas, Bulgaria • EXTENDED DEADLINE for submissions: 15 APRIL 2024.
Conference: 5–6 July 2024, Burgas, Bulgaria • EXTENDED DEADLINE for submissions: 15 APRIL 2024.
Issue:Some remarks on assigning weights to experts in multi-attribute group decision making using intuitionistic fuzzy sets: Difference between revisions
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| 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. | | 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. | ||
Latest revision as of 15:59, 30 October 2020
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