CLOUD-MODEL-BASED MULTIMOORA COMPREHENSIVE EVALUATION METHOD AND ITS APPLICATION IN STATISTICS DISCIPLINE ASSESSMENT

被引：0
作者：
Liu, Mengling [1 ]
Zhang, Chonghui [1 ]
Fan, Yuanhang [1 ]
Jin, Huanhuan [2 ]
机构：
[1] Zhejiang Gongshang Univ, Coll Stat & Math, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Gongshang Univ Hangzhou Coll Commerce, Hangzhou, Zhejiang, Peoples R China
来源：
TRANSFORMATIONS IN BUSINESS & ECONOMICS | 2019年 / 18卷 / 03期
关键词：
MULTIMOORA; C-MULTIMOORA; cloud model; SR[!text type='JS']JS[!/text]D; subsidized assessment; GROUP DECISION-MAKING; MULTICRITERIA ASSESSMENT; FUZZY;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The conventional MULTIMOORA method is not widely used as it has drawbacks in the characterization of the uncertainty of evaluation information and the importance of decision indicators. In this paper, a MULTIMOORA method based on the cloud model (C-MULTIMOORA) is proposed. This method transforms uncertain evaluation information quantitatively using the cloud model. Subsequently, the Square Root of the Jensen-Shannon Divergence (SRJSD) distance is employed to determine the importance weights of the experts and construct the weighted evaluation cloud. Moreover, the C-MULTIMOORA approach is used to rank different solutions and select the most appropriate one. Finally, a case study of subsidized assessment of Statistics discipline is presented to demonstrate the feasibility and validity of the proposed approach.
引用
收藏
页码：229 / 245
页数：17
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