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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/11213
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dc.contributor.authorAgarwal, Shivi-
dc.contributor.authorMathur, Trilok-
dc.date.accessioned2023-08-08T05:29:10Z-
dc.date.available2023-08-08T05:29:10Z-
dc.date.issued2020-
dc.identifier.urihttp://solidstatetechnology.us/index.php/JSST/article/view/3752-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11213-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherSolid State Technologyen_US
dc.subjectMathematicsen_US
dc.subjectNon-Symmetrical Fuzzy Dataen_US
dc.subjectData Envelopment Analysis (DEA)en_US
dc.titleA Benchmarking Approach with Missing Values Using Data Envelopment Analysis for Non-Symmetrical Fuzzy Dataen_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics

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