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Fuzzy Optimization with Robust Logistic Membership Function: A Case Study In For Home Textile Industry

机译:具有鲁棒物流隶属函数的模糊优化 - 以家纺工业为例

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摘要

Many engineering optimization problems can be considered as linear programming problems where the all or sum of the parameters involved are linguistic in nature. These can only be quantified using fuzzy sets. The aim of this paper is to solve fuzzy linear programming problem where the parameters involved are fuzzy numbers with logistic membership functions. To explore the applicability of the present study a numerical example is considered determine monthly production planning and profit of home-textile group. To solve this problem LINGO Software is used.
机译:许多工程优化问题可以被视为线性编程问题,其中所涉及的参数的全部或总和在自然界中。这些只能使用模糊集量化。本文的目的是解决模糊线性编程问题,其中涉及的参数是具有逻辑隶属函数的模糊数。为了探讨本研究的适用性,一项数值示例被认为确定了家庭纺织集团的月度生产计划和利润。要解决此问题,使用Lingo软件。

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