Multi-Objective Top-Down Decision Making through Additive Fuzzy Goal Programming
Multi-Objective Top-Down Decision Making through Additive Fuzzy Goal Programming
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DOI：
10.9746/jcmsi.5.63
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
N. Arbaiy;J. Watada
中科院分区：
文献类型：
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作者：
N. Arbaiy;J. Watada
通过重新使用加权加性模糊目标规划(加权加性模糊目标规划)方法，证明了一种求解多层决策结构中多目标规划问题的基于满意度的方法。加权加法-FGP使我们能够表明决策者对单位目标的偏好以及由决策者在第p级控制的决策向量。本文给出了一种算法，该算法考虑了上级决策对下级决策的影响，每个决策者有权侧重于某些决策变量。数值算例清楚地说明了所提出的求解过程。
: This paper demonstrates a satisfaction-based method for solving multi-objective programming problems in a multi-level decision structure through the renewed use of a weighted additive fuzzy goal programming (weighted additive-FGP) approach. The weighted additive-FGP enables us to indicate decision maker’s preferences toward the unit’s goals and decision vectors that are controlled by the decision maker in the p th -level. This paper presents the algorithm reflecting the influence of a higher-level decision on the decision of a lower level, with the respective decision maker having the authority to place emphasis on certain decision variables. A numerical example clearly illustrates the proposed solution procedure.