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摘要翻译：
许多工程优化问题可以被视为线性规划问题，其中所涉及的全部或部分参数本质上是语言的。这些只能用模糊集来量化。本文的目的是求解一个参数为具有logistic隶属函数的模糊量的模糊线性规划问题。为探讨该方法的适用性，以某家纺集团的月度生产计划、配额和利润为例进行了数值计算。
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英文标题：
《Application of a Fuzzy Programming Technique to Production Planning in
the Textile Industry》
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作者：
I. Elamvazuthi, T. Ganesan, P. Vasant, J. F. Webb
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最新提交年份：
2010
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
Many engineering optimization problems can be considered as linear programming problems where all or some of the parameters involved are linguistic in nature. These can only be quantified using fuzzy sets. The aim of this paper is to solve a fuzzy linear programming problem in which the parameters involved are fuzzy quantities with logistic membership functions. To explore the applicability of the method a numerical example is considered to determine the monthly production planning quotas and profit of a home textile group.
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PDF链接：
https://arxiv.org/pdf/1001.2277
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