Evaluating the airline service quality by fuzzy OWA operators

Authors:
Ching-Hsue Cheng;Jing-Rong Chang;Tien-Hwa Ho;An-Pin Chen
Affiliations:
Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan;Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan;Graduate School of Information Management, National Chiao Tung University, Hsinchu, Taiwan;Graduate School of Information Management, National Chiao Tung University, Hsinchu, Taiwan
Venue:
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Year:
2005

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Abstract

The OWA (Ordered Weighted Averaging) aggregation operators have been extensively adopted to assign the relative weights of numerous criteria. However, previous aggregation operators (including OWA) are independent of aggregation situations. To solve the problem, this study proposes a new aggregation model – dynamic fuzzy OWA operators based on situation model, which can modify the associated dynamic weight based on the aggregation situation and can work like a “magnifying lens” to enlarge the most important attribute dependent on minimal information, or can obtain equal attribute weights based on maximal information. We also apply proposed model to evaluate the service quality of airline.