首页 | 本学科首页   官方微博 | 高级检索  
     


Developing a group decision support system based on fuzzy information axiom
Authors:Selcuk Cebi  Cengiz Kahraman
Affiliation:1. Istanbul Technical University, Department of Industrial Engineering, 34367 Macka, Besiktas, Istanbul, Turkey;2. Yildiz Technical University, Department of Industrial Engineering, 34349 Yildiz, Besiktas, Istanbul, Turkey;1. Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur, Kharagpur 721302, India;2. School of Civil and Mechanical Engineering, Curtin University, WA 6102, Australia;1. Graduate School of Natural and Applied Sciences, Yildiz Technical University, Besiktas 34349, Istanbul, Turkey;2. Department of Industrial Engineering, Yildiz Technical University, Besiktas 34349, Istanbul. Turkey;3. Department of Industrial Engineering, Istanbul Technical University, Macka 34367, Istanbul, Turkey
Abstract:Information axiom, one of two axioms of axiomatic design methodology which is proposed to improve a design, is used to select the best design among proposed designs. In the literature, there are a lot of studies related to using of information axiom for the solution of decision making problems. Moreover, applications of information axiom have been increasing day by day. However, calculation procedure of information axiom is not only incommodious but also difficult for decision makers. In this paper, a decision support system (DSS) based on fuzzy information axiom (FIA) is developed in order to make this decision procedure easy. The developed system consists of a knowledge base module including facts and rules, inference engine module including FIA and aggregation method, and a user interface module including entrance windows. The main aim of this study is to present a DSS tool to help the decision makers to solve their decision problems by modifying data-base of the program. In this paper, an application procedure will be presented based on the optimal selection of location for emergency service to illustrate the implementation procedure of the proposed model.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号