Operations Research and Management Science ›› 2015, Vol. 24 ›› Issue (5): 91-96.DOI: 10.12005/orms.2015.0163

• Theory Analysis and Methodology Study • Previous Articles     Next Articles

Multi-attribute Decision-making Method Based on Dual
Hesitant Fuzzy Linguistic Variables

YANG Shang-hong1,2, JU Yan-bing1   

  1. 1.School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;
    2.China Institute of Marine Technology &
    Economy, Beijing 100081, China
  • Received:2014-04-02 Online:2015-10-12

基于对偶犹豫模糊语言变量的多属性决策方法

杨尚洪1,2,鞠彦兵1   

  1. 1.北京理工大学管理与经济学院,北京100081;
    2.中国船舶工业综合技术经济研究院,北京100081
  • 作者简介:杨尚洪(1986-),男,山东省枣庄市人,博士,研究方向:决策理论与方法、战略管理;鞠彦兵(1968-),男,山东省诸城市人,教授,研究方向:决策理论与方法。
  • 基金资助:
    新世纪优秀人才支持计划资助(NECT-13-0037);国家自然科学基金资助项目(71271049,70972007);北京市自然科学基金资助项目(9102015)

Abstract: In this paper, the dual hesitant fuzzy linguistic variable is defined at first, then some basic definitions such as operational laws, score function, accuracy function, comparison rules are proposed. Next, dual hesitant fuzzy linguistic weighted arithmetic averaging operator, dual hesitant fuzzy linguistic ordered weighted arithmetic averaging operator and dual hesitant fuzzy linguistic hybrid averaging operator are presented, and some properties are discussed. For fuzzy multi-attribute decision making problems in which the attribute values take the form of dual hesitant fuzzy linguistic variables, a method based on dual hesitant fuzzy linguistic aggregation operators is proposed. Finally, a practical partner selection problem of the State Grid Corporation of China is given to verify the effectiveness and feasibility of the developed method.

Key words: :multi-attribute decision making, dual hesitant fuzzy linguistic variable, aggregation operators, partner selection

摘要: 首先定义了对偶犹豫模糊语言变量,然后给出其运算规则、得分值函数、精确值函数、比较规则以及对偶犹豫模糊语言变量的加权算术平均算子、有序加权算术平均算子和混合平均算子。针对属性值为对偶犹豫模糊语言变量的多属性决策问题,提出了一种基于对偶犹豫模糊语言变量集结算子的多属性决策方法。最后,结合国家电网公司合作单位选择问题,验证了该方法的有效性和可行性。

关键词: 多属性决策, 对偶犹豫模糊语言变量, 集结算子, 合作单位选择

CLC Number: