Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

Peykani Pejman; Esmaeili Fatemeh Sadat Seyed; Mirmozaffari MirpouyaJabbarzadeh ArminKhamechian Mohammad

首页> 外文期刊>Machine Learning and Knowledge Extraction >Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

【24h】

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

机译：

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The purpose of this study is to provide an efficient method for the selection of input-output indicators in the data envelopment analysis (DEA) approach, in order to improve the discriminatory power of the DEA method in the evaluation process and performance analysis of homogeneous decision-making units (DMUs) in the presence of negative values and data. For this purpose, the Shannon entropy technique is used as one of the most important methods for determining the weight of indicators. Moreover, due to the presence of negative data in some indicators, the range directional measure (RDM) model is used as the basic model of the research. Finally, to demonstrate the applicability of the proposed approach, the food and beverage industry has been selected from the Tehran stock exchange (TSE) as a case study, and data related to 15 stocks have been extracted from this industry. The numerical and experimental results indicate the efficacy of the hybrid data envelopment analysis-Shannon entropy (DEASE) approach to evaluate stocks under negative data. Furthermore, the discriminatory power of the proposed DEASE approach is greater than that of a classical DEA model.

著录项

来源
《Machine Learning and Knowledge Extraction》 |2022年第3期|688-699|共12页
作者
Peykani Pejman; Esmaeili Fatemeh Sadat Seyed; Mirmozaffari MirpouyaJabbarzadeh ArminKhamechian Mohammad;
展开▼
作者单位

Dalhousie Univ;

Islamic Azad Univ;

Univ QuebecUniv Wisconsin;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
data envelopment analysis; Shannon entropy; input/output selection; discriminatory power; stock market; negative data; DEA MODELS; EFFICIENCY EVALUATION; PORTFOLIO SELECTION; GENERALIZED DEA; PERFORMANCE; INEFFICIENCIES; BENCHMARKING; INFORMATION; MANAGEMENT; CONTEXT;

相似文献

外文文献
中文文献

1. Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale [J] . Chen Lei, Wang Ying-Ming Expert Systems with Application . 2021,第11期

机译：Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale
2. Target setting in data envelopment analysis: efficiency improvement models with predefined inputs/outputs [J] . Ibrahim Mustapha Daruwana, Daneshvar Sahand, Guden HuseyinVizvari Bela Opsearch: Journal of the Operational Research Society of India . 2020,第4期

机译：Target setting in data envelopment analysis: efficiency improvement models with predefined inputs/outputs
3. NEW BIOLOGICAL DATA ENVELOPMENT ANALYSIS MODELS WITHOUT INPUTS OR WITHOUT OUTPUTS [J] . Shen J. F., Bai J. W. Basic & clinical pharmacology & toxicology. . 2016,第1期

机译：NEW BIOLOGICAL DATA ENVELOPMENT ANALYSIS MODELS WITHOUT INPUTS OR WITHOUT OUTPUTS
4. Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm [O] . Creaco E., Berardi, L., Sun, S. A., 2016

机译：selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm

Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach

摘要

著录项

相似文献

相关主题

期刊订阅