An Investigation on Multi-Criteria Location Problem with Fuzzy Parameters

机译：具有模糊参数的多准则定位问题的研究

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摘要

This paper considers to locate multiple new uncapacitated facilities on a plane bounded by a convex polygon under minisum, maximin and minimax criteria to meet fuzzy demands of customers. Some fuzzy programming models are initiated for this problem, where Euclidean distances are assumed as the scenario. And a hybrid intelligent algorithm is designed for solving the proposed models.

机译：本文考虑在最小，最大和最小最大准则下，在以凸多边形为边界的平面上定位多个新的无能力设施，以满足客户的模糊需求。针对此问题启动了一些模糊规划模型，其中以欧几里德距离为场景。设计了一种混合智能算法来求解所提出的模型。

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来源
《The Second International Conference on Information Jul 24-27, 2002 Beijing, China》|2002年|p.218-223|共6页
会议地点 Beijing(CN)
作者
Jian Zhou; Wanyu Li;
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作者单位

Uncertain Systems Laboratory, Department of Mathematical Sciences Tsinghua University, Beijing 100084, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类 C9;
关键词
facility layout problem; fuzzy programming; genetic algorithm;

机译：设施布局问题；模糊规划；遗传算法;

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An Investigation on Multi-Criteria Location Problem with Fuzzy Parameters

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