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一种基于模糊语言TOPSIS的应急决策方法
作者姓名:李海明  虞钢  田崇鑫  尚国彬
作者单位:1. 中国科学院大学工程科学学院, 北京 100049; 2. 中国科学院大学材料与光电研究中心, 北京 100049; 3. 中国科学院力学研究所, 北京 100190
基金项目:国家自然科学基金(11672304和11502269)资助
摘    要:在应急决策过程中,决策信息通常具有犹豫性、模糊性和非对称性,且决策者呈现出直观、快速的语言决策偏好。提出一种基于模糊语言TOPSIS的应急决策方法,使用犹豫模糊语言术语集和二元语义表达式对高度不确定环境下的语言进行处理,提高对犹豫模糊语言信息的提取能力,生成易于理解的语言评估结果,从而辅助决策者进行快速、准确的决策判断。案例证实该方法的可行性与有效性,为解决应急决策问题提供了一种新方法。

关 键 词:应急决策  空中备降  犹豫模糊语言集  二元语义  马氏距离TOPSIS法  
收稿时间:2019-04-22
修稿时间:2019-05-24

An emergency decision method based on fuzzy linguistic TOPSIS
Authors:LI Haiming  YU Gang  TIAN Chongxin  SHANG Guobin
Institution:1. School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China; 2. Materials and Photoelectric Research Center, University of Chinese Academy of Sciences, Beijing 100049, China; 3. Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
Abstract:During the process of emergency decision-making, information is frequently hesitant, fuzzy, and unbalanced, and decision makers often present their intuitive and rapid linguistic decision preference. In this work, an emergency decision-making method based on fuzzy linguistic TOPSIS is proposed. It combines the hesitant fuzzy linguistic term set (HFLTS) and 2-tuple linguistic expression to deal with words in highly uncertain context, which not only improves the elicitation of hesitant fuzzy information but also leads to linguistic results easy to understand by decision makers, and it could be helpful to making a rapid and accurate decision judgement. A case study verifies the feasibility and effectiveness of this method and proves its certain practical value.
Keywords:emergency decision                                                                                                                        flight alternate                                                                                                                        hesitant fuzzy linguistic term set                                                                                                                        2-tuple                                                                                                                        Mahalanobis distance-based TOPSIS method
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