Multiple attribute decision-making methods for the dynamic operator allocation problem

Taho Yang, Mu Chen Chen, Chih Ching Hung

研究成果: Article同行評審

69 引文 斯高帕斯(Scopus)


This study explores two multiple attribute decision-making (MADM) methods to solve a dynamic operator allocation problem. Both methods use an analytic hierarchy process (AHP) to determine attribute weights a priori. The first method uses a technique for order preference by similarity to ideal solution (TOPSIS). The second method incorporates a fuzzy-based logic that uses linguistic variable representation, fuzzy operation, and fuzzy defuzzification. The TOPSIS uses deterministic performance ratings and attribute weights, whilst the fuzzy-based is a linguistic method. An applied case study drawn from existing literature is used to demonstrate and test findings. The proposed methods systematically evaluate alternative scenarios, with the result indicating promise for solving an operator allocation decision problem.

頁(從 - 到)285-299
期刊Mathematics and Computers in Simulation
出版狀態Published - 2007 1月 10

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)
  • 數值分析
  • 建模與模擬
  • 應用數學


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