Using a Bipolar Choquet Neural Network to Locate a Retail Store

被引：1

作者：

Soares Machado, Maria Augusta ^{[1
]}

Autran Monteiro Gomes, Luiz Flavio ^{[1
]}

Santos, Danilo Jusan ^{[1
]}

Caldeirad, Andre Machado ^{[2
]}

机构：

[1] Ibmec RJ, BR-20030020 Rio De Janeiro, Brazil

[2] Fuzzy Consultoria Ltda, BR-22060002 Rio De Janeiro, Brazil

来源：

3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2015 | 2015年 / 55卷

关键词：

Multicriteria Classification; Fuzzy Sets; Prospect Theory; Choquet Integral; Retailing; TODIM METHOD; PROSPECT-THEORY; DECISION;

D O I：

10.1016/j.procs.2015.07.163

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose and apply a novel analytical method for solving a class of location problems. The method is based on the use of the bipolar Choquet integral in a neural network for classifying alternative locations. The method is applied to the case study that consists of finding a location for a new store of a major Brazilian retail company. A comparison between the use of the proposed method and the TODIM-FSE method is presented in the paper. The method can also be applied to a situation when one has millions of patterns and new patterns have to be recognized. The paper closes with identifying the proposed method as being efficient and ready to be used with structured and non-structured data systems in order to discover relevant and still unknown information. (C) 2015 Published by Elsevier B.V.

引用

页码：741 / 747

页数：7

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