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Optimizing a Linear Fractional Programming Problem with Max-Product Fuzzy Relational Equation Constraints

求解具最大-積模糊關係方程式的線性分數規劃問題

摘要


本文主要探討線性分數規劃以最大-積模糊關係方程式爲限制條件的最佳化問題,研究此一以往未曾被討論過的新課題,本文提出三個成果:一、利用最大-積模糊關係方程式其可行解的性質,提出求解此類線性分數規劃問題的一些理論結果。二、運用這些結果簡化問題的可行域,並將簡化後的問題轉換成傳統的線性分數規劃模式。三、取代一般尋找原問題所有最小解,再由所有最小解中找出最佳解的方式,提出求解此類問題較高效率的演算法。爲了說明如何求解具最大-積模糊關係方程式的線性分數規劃問題,文中提供求解程序與演算實例。

並列摘要


This study investigates a new framework that a linear fractional programming problem is subject to fuzzy relational equations with max-product composition. Three folds are presented. First, some theoretical results are developed to optimize such a linear fractional programming problem based on the properties of max-product composition. Second, the results are adopted to reduce the feasible domain. The problem can thus be simplified and converted into a traditional linear fractional programming problem. Third, a procedure is presented to solve this optimization problem without looking for all potential minimal solutions. Numerical examples are provided to illustrate the procedure.

參考文獻


Bourke, M. M.,D. G. Fisher(1998).Solution algorithms for fuzzy relational equations with max-product composition.Fuzzy Sets and Systems.94,61-69.
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