首页> 外文期刊>Fuzzy sets and systems >A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments
【24h】

A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments

机译:在模糊和非模糊环境中使用TOPSIS和VIKOR进行多准则替代排名的决策支持系统

获取原文
获取原文并翻译 | 示例
           

摘要

TOPSIS and VIKOR are two well-known and widely-used multiple attribute decision making methods. Many extensions of these methods have been proposed that either use different techniques to rank alternatives or utilize fuzzy logic to handle alternatives and criteria that are unquantifiable and/or incomplete. In this paper, we present the implementation of a web-based decision support system that incorporates TOPSIS and VIKOR to solve multicriteria decision making problems either in a nonfuzzy or in a fuzzy environment. The aim of this paper is to present a tool that will be used by decision makers to compare various alternative solutions and understand how robust a decision will be. The proposed system can be used both in single and in group decision making problems. In addition, we review several variations for each step of these methods and implement different techniques when applicable. Hence, decision makers can experiment with different techniques in each method. We implement ten normalization techniques, three methods for the calculation of the ideal and anti-ideal solutions, fifteen distance metrics, five fuzzy distance metrics, and eight defuzzification techniques. An illustrative example is presented to highlight the key features of the implemented system and the different scenarios that can be built using the proposed DSS. (C) 2019 Elsevier B.V. All rights reserved.
机译:TOPSIS和VIKOR是两种众所周知且使用广泛的多属性决策方法。已经提出了这些方法的许多扩展,这些扩展要么使用不同的技术对备选方案进行排名,要么利用模糊逻辑来处理无法量化和/或不完整的备选方案和标准。在本文中,我们介绍了基于网络的决策支持系统的实现,该系统结合了TOPSIS和VIKOR来解决在非模糊或模糊环境中的多准则决策问题。本文的目的是提供一种可供决策者用来比较各种替代解决方案并了解决策的稳健性的工具。所提出的系统可用于单个决策和群体决策问题。此外,我们将对这些方法的每个步骤进行一些回顾,并在适用时实施不同的技术。因此,决策者可以在每种方法中尝试不同的技术。我们实施了十种归一化技术,三种用于计算理想解和反理想解的方法,十五种距离度量,五种模糊距离度量以及八种去模糊技术。给出了一个说明性示例,以突出说明已实现系统的关键功能以及可以使用建议的DSS构建的不同方案。 (C)2019 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号