A decision support system for locating convenience store through fuzzy AHP

被引：71
|
作者：
Kuo, RJ [1 ]
Chi, SC
Kao, SS
机构：
[1] Natl Kaohsiung First Univ Sci & Technol, Dept Mkt & Distribut Management, Kaohsiung 824, Taiwan
[2] I Shou Univ, Grad Sch Management Sci, Kaohsiung 840, Taiwan
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 1999年 / 37卷 / 1-2期
关键词：
location selection; artificial neural network; error back-propagation learning algorithm; fuzzy set theory; AHP; convenience store (CVS);
D O I：
10.1016/S0360-8352(99)00084-4
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Location selection plays a very prominent role in retailing due to its high and long-term investments. It is very difficult to make up once an inappropriate convenience store (CVS) location has been established. The conventional approaches within this domain can only provide a set of systematic steps for problem-solving without involving the relationship among the decision factors globally. Therefore, this study dedicates to develop a decision support system using the fuzzy sets theory being integrated with analytical hierarchy process (AHP) for locating a new CVS. The proposed system consists of four components: (I) hierarchical structure development for fuzzy AHP, (2) weights determination, (3) data collection, and (4) decision making. The model evaluation results. based on II-ELEVEN joined retailing system, showed that the proposed system is able to provide very good solution both in accuracy and speed for the top managers. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：323 / 326
页数：4
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