利用模糊集求解最小覆盖定位问题

2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2013-11-14 DOI:10.1109/SISY.2013.6662564

A. Takaci, M. Marić, Darko Drakulic

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引用次数: 1

摘要

最小覆盖位置问题(MinCLP)的目标是找到具有最小覆盖的位置的位置。最小覆盖定位问题是与文献中研究较多的最大覆盖定位问题相反的问题。过去已有多篇论文研究了模糊集在改进MCLP中的作用，本文分析了模糊集在改进MinCLP中的作用。本文将针对两类不同的模糊MinCLP给出两种不同的模型。

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Solving minimal covering location problem (MinCLP) with the aid of fuzzy sets

The object of Minimal Covering Location Problem (MinCLP) is to find a placement of the locations which have the minimal coverage. Minimal Covering location problem is the opposite of the Maximal Covering Location Problem (MCLP) which is more studied in literature. The role of fuzzy sets in the improvement of MCLP was studied in several papers in the past and the role of fuzzy sets in the improvement of MinCLP is analyzed in this paper. Two different models for two different classes of Fuzzy MinCLP will be presented.

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2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)

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