Fuzzy goal programming with different importance and priorities

Liang-Hsuan Chen, Feng Chou Tsai

研究成果: Article同行評審

213 引文 斯高帕斯(Scopus)


This paper formulates fuzzy goal programming (FGP) incorporating different importance and preemptive priorities by using an additive model to maximize the sum of achievement degrees of all fuzzy goals. In contrast to previous works, the proposed approach allows the decision-maker to determine a desirable achievement degree for each fuzzy goal to reflect explicitly the relative importance of these goals. This approach can generate a set of achievement degrees consistent with the decision-maker's expectations, even though the relative importance of the goals may change. Furthermore, in this paper we incorporate the decision-maker's preemptive priority structure into a single formulation. The resulting solutions satisfy both the preemptive priority structure and have the maximum achievement degrees in sum. The proposed approaches' effectiveness and computational superiority over the existing approaches are demonstrated and compared with examples from the literature.

頁(從 - 到)548-556
期刊European Journal of Operational Research
出版狀態Published - 2001 9月 16

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 建模與模擬
  • 管理科學與經營研究
  • 資訊系統與管理


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