Generalized mixture operators using weighting functions: A comparative study with weighted averages and ordered weighted averages

Generalized mixture operators using weighting functions: A comparative study with weighted averages and ordered weighted averages

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Article ID: iaor20042417
Country: Netherlands
Volume: 145
Issue: 2
Start Page Number: 329
End Page Number: 342
Publication Date: Mar 2003
Journal: European Journal of Operational Research
Authors: ,
Keywords: fuzzy sets
Abstract:

In the context of multiple decision making, we present an aggregation scheme based on generalized mixture operators using weighting functions and we compare it with two standard aggregation methods: weighted averaging and ordered weighted averaging. Specifically, we consider linear and quadratic weight generating functions that penalize bad attribute performances and reward good attribute performances. An illustrative example, borrowed from the literature, is used to perform the operators' comparison. We believe that this comparative study will highlight the potential and flexibility of generalized mixture operators using weighting functions that depend on attribute performances.

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