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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11213
Title: A Benchmarking Approach with Missing Values Using Data Envelopment Analysis for Non-Symmetrical Fuzzy Data
Authors: Agarwal, Shivi
Mathur, Trilok
Keywords: Mathematics
Non-Symmetrical Fuzzy Data
Data Envelopment Analysis (DEA)
Issue Date: 2020
Publisher: Solid State Technology
Abstract: This study proposes a benchmarking approach where the missing data point denoted by fuzzy numbers and aims to outstretch the crisp Data Envelopment Analysis (DEA) model in a fuzzy system. The fuzzy DEA integrated model is capable for benchmarking of homogeneous decision making units (DMUs) with the missing data as non-symmetrical fuzzy data in terms of fuzzy efficiency. A numerical illustration is presented as a case study to explain the integrated fuzzy DEA model.
URI: http://solidstatetechnology.us/index.php/JSST/article/view/3752
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11213
Appears in Collections:Department of Mathematics

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