Some Induced Ordered Weighting Averaging Operators to Solve Decision Problems Based on Fuzzy Preference Relations
نویسنده
چکیده
In [14] Yager and Filev introduced the Induced Ordered Weighted Averaging (IOWA) operator. In this paper, we provide some IOWA operators to aggregate fuzzy preference relations in group decision making problems. In particular, we present the Importance IOWA (I-IOWA) operator, the Consistency IOWA (C-IOWA) operator and the Preference IOWA (P-IOWA) operator. We also provide a procedure to deal with ‘ties’ with respect to the ordering induced by the application of one of these IOWA operators different to the one proposed by Yager and Filev. Finally, we analyse the reciprocity and consistency properties of the collective fuzzy preference relations obtained using IOWA operators.
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Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations
In [28] Yager and Filev introduced the Induced Ordered Weighted Averaging (IOWA) operator. In this paper, we provide some IOWA operators to aggregate fuzzy preference relations in group decision-making (GDM) problems. These IOWA operators when guided by fuzzy linguistic quantifiers allow the introduction of some semantics or meaning in the aggregation, and therefore allow for a better control o...
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