文献类型：期刊文献

英文题名：A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

作者：Mao, Xinna[1];Zhao Guoxi[1];Fallah, Mohammad[2];Edalatpanah, S. A.[3]

第一作者：毛新娜

通讯作者：Edalatpanah, SA[1]

机构：[1]Xinxiang Univ, Dept Math & Informat Sci, Xinxiang 453003, Henan, Peoples R China;[2]Islamic Azad Univ, Cent Tehran Branch, Dept Ind Engn, Tehran, Iran;[3]Ayandegan Inst Higher Educ, Dept Appl Math, Tonekabon, Iran

第一机构：新乡学院数学与信息科学学院

通讯机构：[1]corresponding author), Ayandegan Inst Higher Educ, Dept Appl Math, Tonekabon, Iran.

年份：2020

卷号：2020

外文期刊名：MATHEMATICAL PROBLEMS IN ENGINEERING

收录：;EI(收录号：20204109303295);Scopus(收录号：2-s2.0-85091919053);WOS:【SCI-EXPANDED(收录号:WOS:000556408100008)】；

基金：This work was supported by Xinxiang University.

语种：英文

外文关键词：Data envelopment analysis - Manufacture - Mathematical operators

摘要：Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs. Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the values of the data are information with indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness. Furthermore, the conventional DEA models have been originally formulated solely for desirable outputs. However, undesirable outputs may additionally be present in the manufacturing system, which wishes to be minimized. To tackle the mentioned issues and in order to obtain a reliable measurement that keeps original advantage of DEA and considers the influence of undesirable factors under the indeterminate environments, this paper presents a neutrosophic DEA model with undesirable outputs. The recommended technique is based on the aggregation operator and has a simple construction. Finally, an example is given to illustrate the new model and ranking approach in details.