运筹与管理 ›› 2024, Vol. 33 ›› Issue (2): 49-56.DOI: 10.12005/orms.2024.0043

• 理论分析与方法探讨 • 上一篇    下一篇

考虑对称交互熵的对偶犹豫模糊企业环境行为决策模型分析

曲国华1, 栗赟余1, 曲卫华2,3, 董丹琪1, 叶佳蒙1   

  1. 1.山西财经大学 管理科学与工程学院,山西 太原 030006;
    2.山西大学 管理与决策研究所,山西 太原 030006;
    3.山西大学 经济与管理学院,山西 太原 030006
  • 收稿日期:2022-01-16 出版日期:2024-02-25 发布日期:2024-04-22
  • 通讯作者: 曲国华(1982-),男,山西静乐人,博士,教授,研究方向:企业环境行为与能源环境健康
  • 作者简介:曲卫华(1982-),男,山西静乐人,博士,教授,博士生导师,研究方向:能源气候金融;栗赟余(1999-),女,山西太原人,硕士研究生,研究方向:企业环境行为与能源环境健康。
  • 基金资助:
    国家社会科学基金资助项目(21FGLB043);教育部哲学社会科学研究后期资助项目(23JHQ093)

Analysis of Dual Hesitant Fuzzy Enterprise Environmental Behavior Decision Model Considering Symmetric Interaction Entropy

QU Guohua1, LI Yunyu1, QU Weihua2,3, DONG Danqi1, YE Jiameng1   

  1. 1. School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China;
    2. School of Economics and Management, Shanxi University, Taiyuan 030006, China;
    3. Institute of Management and Decision, Shanxi University, Taiyuan 030006, China
  • Received:2022-01-16 Online:2024-02-25 Published:2024-04-22

摘要: 顺应绿色新发展理念,建设高质量生态文明,提升企业环境治理能力现代化水平,企业环境行为指标已逐渐被纳入投资者考量范围。本文针对第三方国际环境审计平台对企业环境行为评价的问题,研究面向对偶犹豫模糊评价信息的聚类方法。首先,定义对偶犹豫模糊相对熵与对称交互熵,并基于信息论角度提出一个新的对偶犹豫模糊相似度公式;然后,构造相似系数矩阵,并基于编网聚类方法对对偶犹豫模糊集进行聚类。最后,以不同指标权重下评价企业环境行为优劣程度为例进行计算,并与使用传统相关系数聚类方法所得结果进行对比,说明在考虑决策者提供的信息量较大的情况下,本文方法概念清晰、计算简单、分辨率高,是一种更加灵活、全面的多层次评价方法,为完善企业环境评价系统的构建提供了一种新思路。

关键词: 企业环境行为, 对偶犹豫模糊集, 对称交互熵, 相似度, 聚类

Abstract: Accompanied by increasingly serious ecological and environmental problems, the whole society's awareness of ecological protection is gradually strengthened. Enterprises, as the main source of pollution, are paid more attention to in the market, and thus all kinds of corporate environmental behavior indicators as the information to understand the environmental protection efforts of the enterprise, are gradually included in investor considerations. This paper focuses on the third-party international environmental auditing platform to evaluate the environmental behavior of enterprises, researches the clustering method of corporate environmental behavior information for dual hesitant fuzzy evaluation information, and identifies and selects excellent enterprises in this regard. First of all, this paper combs through the relevant research literature on enterprise environmental behavior at home and abroad in recent years, and agrees that the decision-making of enterprise environmental behavior belongs to the multi-attribute problem, and determines that the fuzzy mathematical theory will be used next to conduct research on enterprise environmental evaluation.
Firstly, based on the third party international environmental audit process, this paper proposes that the dual hesitant fuzzy set consisting of two sets of possible values of affiliation and non-affiliation has a relative advantage in solving this kind of multi-attribute decision-making problem. Referring to related literature, based on the definition of dual hesitant fuzzy distance measure, we construct dual hesitant fuzzy relative entropy and dual hesitant fuzzy symmetric interaction entropy, and prove that the symmetric interaction entropy has non-negativity, symmetry, and uniqueness of the value of zero. Then, a new dual hesitant fuzzy similarity formula is proposed based on the information theoretic perspective, and its five properties suitable for use as an evaluation criterion are clarified, and it is further extended to a similarity formula considering weights. Finally, the similarity coefficient matrix is constructed, and with reference to the braided net clustering method for hesitation fuzzy sets, a braided net clustering step for dual hesitation fuzzy sets is proposed to cluster the information in the dual hesitation fuzzy sets.
On the basis of the references, this paper makes appropriate modifications to the cases therein, takes into account the case of enterprise environmental assessment by the third-party international environmental audit platform formulated by the government, and evaluates the degree of environmental behavior of enterprises under the weights of different indexes as an example of calculation, evaluates and screens enterprises with high environmental return on investment ratio, which proves the correctness and feasibility of the method in this paper. Afterwards, by comparing the results with those obtained by using the traditional correlation coefficient clustering method, it shows that in the consideration of the large amount of information provided by decision makers, the method in this paper is clear in concept, simple in calculation, and high in resolution, which relatively makes up for the shortcomings of the use of dual hesitation fuzzy correlation coefficients in the references, and at the same time takes into consideration the weights of the evaluation indexes of the enterprise's environmental behavior, which is more in tune with the evaluation of the market's environmental behavior in the realistic scenario. In general, the dual hesitant fuzzy enterprise environmental behavior decision-making model considering symmetric interaction entropy is a more flexible and comprehensive multilevel evaluation and selection model, which provides a new way of thinking to improve the construction of enterprise environmental evaluation system.
In the future follow-up research, the correlation coefficient and the distance definition of dual hesitant fuzzy set in statistics can be further combined to improve the similarity of the correlation coefficient in the statistical sense, and the real environmental behavior data of enterprises can be collected for empirical testing, so that the dual hesitant fuzzy set can be further developed more fully in integrating the environmental decision-making, evaluation and selection of enterprises.

Key words: corporate environmental behavior, dual hesitant fuzzy sets, symmetric cross entropy, similarity, clustering

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