April 9, 2024Annals of Operations ResearchOpen Access

OWA-based multi-criteria decision making based on fuzzy methods

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Authors

PDPierpaolo D’UrsoSapienza University of Rome JCJalal ChachiShahid Chamran University of Ahvaz AKAhmad KazemifardShahid Chamran University of Ahvaz

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Implication

Methodological framework demonstrates improved criteria weight determination in multi-attribute decision making, indicating better use of decision matrix information.

Key Points

Generalized multi-objective decision making optimizes criteria weights by incorporating complete decision matrix data across crisp and fuzzy preference structures.
Mathematical modeling extends Yager's OWA operators and Ahn's method, testing performance on numerical examples and real student teaching evaluation surveys.
Framework enables decision makers to overcome single-parameter limitations of traditional OWA operators, supporting adaptable multi-attribute evaluation models.

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D’Urso et al. (2024) studied this question.

synapsesocial.com/papers/68e6fca8b6db643587676943 https://doi.org/10.1007/s10479-024-05926-5

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Implication

Methodological framework demonstrates improved criteria weight determination in multi-attribute decision making, indicating better use of decision matrix information.

OWA-based multi-criteria decision making based on fuzzy methods

Discussion

Member takes

Implication

Key Points

Cite This Study

OWA-based multi-criteria decision making based on fuzzy methods

Discussion

Member takes

Implication

Key Points

Cite This Study

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