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犹豫模糊语言PROMETHEE方法在川酒品牌评价中的应用
引用本文:廖虎昌,杨竹,徐泽水,顾新.犹豫模糊语言PROMETHEE方法在川酒品牌评价中的应用[J].控制与决策,2019,34(12):2727-2736.
作者姓名:廖虎昌  杨竹  徐泽水  顾新
作者单位:四川大学 商学院,成都,610064;四川大学 商学院,成都,610064;四川大学 商学院,成都,610064;四川大学 商学院,成都,610064
基金项目:国家自然科学基金项目(71501135,71771156);四川大学优秀青年学者科研基金项目(2016SCU04A23);四川省教育厅重点项目(Xq16B04,CJZ16-01,CJCB2016-02).
摘    要:基于犹豫模糊语言集理论,提出一种犹豫模糊语言信息环境下的PROMETHEE多属性决策方法,并应用于川酒品牌评价决策问题中.研究表明,犹豫模糊语言集能够很好地描述和处理复杂定性信息环境下的川酒品牌评价与决策问题;所提出的犹豫模糊语言PROMETHEE算法简便, 且改进的偏好函数允许决策者根据其对方案的严格优于偏好对参数进行选择,可保证决策过程的科学性和决策结果的准确性.

关 键 词:川酒品牌评价  PROMETHEE  多属性决策  犹豫模糊语言集  犹豫模糊语言偏好关系  偏好函数

A hesitant fuzzy linguistic PROMETHEE method and its application in Sichuan liquor brand evaluation
LIAO Hu-chang,YANG Zhu,XU Ze-shui and GU Xin.A hesitant fuzzy linguistic PROMETHEE method and its application in Sichuan liquor brand evaluation[J].Control and Decision,2019,34(12):2727-2736.
Authors:LIAO Hu-chang  YANG Zhu  XU Ze-shui and GU Xin
Affiliation:Business School,Sichuan University,Chengdu610064,China,Business School,Sichuan University,Chengdu610064,China,Business School,Sichuan University,Chengdu610064,China and Business School,Sichuan University,Chengdu610064,China
Abstract:Based on the hesitant fuzzy linguistic theory, this paper proposes a hesitant fuzzy linguistic PROMETHEE method for multiple criteria decision making, in which all the judgments of alternatives over the criteria are represented by the hesitant fuzzy linguistic term set. An example concerning the Sichuan liquor brand evaluation is provided to demonstrate the applicability of the proposed method. The results of the numerical example show that the hesitant fuzzy linguistic term set has many advantages in describing and tackling the complex Sichuan liquor brand evaluation and decision-making problem with qualitative information. It also demonstrates that the introduced algorithm is easy to use, and the improved prepference functions ensure the scientific nature of the decision-making process and the accuracy of the decision results, as they allow decision-makers to select parameters according to their needs for representing strict preferences.
Keywords:
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