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Evaluating the Airline Service Quality by Fuzzy OWA Operators

  • Ching-Hsue Cheng
  • Jing-Rong Chang
  • Tien-Hwa Ho
  • An-Pin Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3558)

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.

Keywords

Analytic Hierarchy Process Aggregation Operator Order Weighted Average Attribute Weight Order Weighted Average Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ching-Hsue Cheng
    • 1
  • Jing-Rong Chang
    • 1
  • Tien-Hwa Ho
    • 2
  • An-Pin Chen
    • 2
  1. 1.Department of Information ManagementNational Yunlin University of Science and TechnologyTouliu, YunlinTaiwan
  2. 2.Graduate School of Information ManagementNational Chiao Tung UniversityHsinchuTaiwan

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