首页> 外文期刊>Proceedings of the National Academy of Sciences, India, Section A. Physical Sciences >A Fuzzy Logic Based Approach to Solve Interval Multiobjective Nonlinear Transportation Problem
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A Fuzzy Logic Based Approach to Solve Interval Multiobjective Nonlinear Transportation Problem

机译:基于模糊逻辑的方法来解决区间多目标非线性运输问题

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abstract_textpThis paper presents the solution procedure of multiobjective nonlinear transportation problem (MNOTP) where the cost coefficients of the objective functions, and the supply and the unknown demand parameters have been formulated as interval numbers by the decision maker. This problem has been converted into a conventional MNOTP where to minimize the interval nonlinear objective functions, the order relations that define the choice between intervals have been determined by the interval arithmetic. Also, the constraints with interval supply and unknown demand parameters have been transformed into its deterministic forms. Then the deterministic problems have been solved by two compromise programming methods. Finally, a numerical example is presented to illustrate the efficiency of the proposed procedure as well./p/abstract_text
机译:& abstract_text & p介绍了多目标的解决方案的过程非线性运输问题(MNOTP)成本目标函数的系数,供应和需求未知参数被制定为区间数的决策者。成一个传统MNOTP最小化区间非线性目标函数,订单关系定义之间的选择间隔决定了区间算术。供应和需求未知参数转换成确定性形式。确定性的问题已经解决了两种妥协的编程方法。给出了数值例子来说明的该过程的效率嗯。你们;/ p & / abstract_text

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