Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903883786> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2903883786 endingPage "312" @default.
- W2903883786 startingPage "305" @default.
- W2903883786 abstract "Abstract Data Envelopment Analysis (DEA) is a linear programming based model which evaluates the relative efficiency of Decision Making Units (DMUs), with multiple inputs and outputs. Conventional DEA evaluates DMUs with their own weights and separates them into efficient and inefficient. To provide a full ranking of DMUs or select one of them (as the most preferred one), more discrimination is necessary. This paper presents a method that ranks extreme efficient units by comparing the volumes of their optimal weight sets, approximately, through generating some random weight vectors. To illustrate the proposed method, some numerical examples are provided." @default.
- W2903883786 created "2018-12-22" @default.
- W2903883786 creator A5012871593 @default.
- W2903883786 creator A5022028411 @default.
- W2903883786 date "2019-02-01" @default.
- W2903883786 modified "2023-09-23" @default.
- W2903883786 title "Discriminating extreme efficient decision making units in DEA using random weight vectors" @default.
- W2903883786 cites W1980023799 @default.
- W2903883786 cites W1981579882 @default.
- W2903883786 cites W1991924970 @default.
- W2903883786 cites W1999613618 @default.
- W2903883786 cites W2002423496 @default.
- W2903883786 cites W2006096769 @default.
- W2903883786 cites W2007598796 @default.
- W2903883786 cites W2012651708 @default.
- W2903883786 cites W2013858410 @default.
- W2903883786 cites W2021951270 @default.
- W2903883786 cites W2025983644 @default.
- W2903883786 cites W2028359257 @default.
- W2903883786 cites W2034946604 @default.
- W2903883786 cites W2034972911 @default.
- W2903883786 cites W2037017856 @default.
- W2903883786 cites W2038761115 @default.
- W2903883786 cites W2042556403 @default.
- W2903883786 cites W2048773218 @default.
- W2903883786 cites W2049816234 @default.
- W2903883786 cites W2056799687 @default.
- W2903883786 cites W2060286500 @default.
- W2903883786 cites W2063861389 @default.
- W2903883786 cites W2074429469 @default.
- W2903883786 cites W2075855625 @default.
- W2903883786 cites W2076452041 @default.
- W2903883786 cites W2078792730 @default.
- W2903883786 cites W2087323103 @default.
- W2903883786 cites W2090403375 @default.
- W2903883786 cites W2097173585 @default.
- W2903883786 cites W2104448377 @default.
- W2903883786 cites W2105321815 @default.
- W2903883786 cites W2110250287 @default.
- W2903883786 cites W2129763896 @default.
- W2903883786 cites W2148019586 @default.
- W2903883786 cites W2163504867 @default.
- W2903883786 cites W2554006426 @default.
- W2903883786 cites W2593992388 @default.
- W2903883786 cites W2606830439 @default.
- W2903883786 cites W2725612199 @default.
- W2903883786 cites W28739319 @default.
- W2903883786 doi "https://doi.org/10.1016/j.cie.2018.12.049" @default.
- W2903883786 hasPublicationYear "2019" @default.
- W2903883786 type Work @default.
- W2903883786 sameAs 2903883786 @default.
- W2903883786 citedByCount "4" @default.
- W2903883786 countsByYear W29038837862019 @default.
- W2903883786 countsByYear W29038837862021 @default.
- W2903883786 countsByYear W29038837862022 @default.
- W2903883786 crossrefType "journal-article" @default.
- W2903883786 hasAuthorship W2903883786A5012871593 @default.
- W2903883786 hasAuthorship W2903883786A5022028411 @default.
- W2903883786 hasConcept C105795698 @default.
- W2903883786 hasConcept C33923547 @default.
- W2903883786 hasConcept C41008148 @default.
- W2903883786 hasConcept C42475967 @default.
- W2903883786 hasConceptScore W2903883786C105795698 @default.
- W2903883786 hasConceptScore W2903883786C33923547 @default.
- W2903883786 hasConceptScore W2903883786C41008148 @default.
- W2903883786 hasConceptScore W2903883786C42475967 @default.
- W2903883786 hasLocation W29038837861 @default.
- W2903883786 hasOpenAccess W2903883786 @default.
- W2903883786 hasPrimaryLocation W29038837861 @default.
- W2903883786 hasRelatedWork W2043099224 @default.
- W2903883786 hasRelatedWork W2067341816 @default.
- W2903883786 hasRelatedWork W2114668360 @default.
- W2903883786 hasRelatedWork W2330407128 @default.
- W2903883786 hasRelatedWork W2552050053 @default.
- W2903883786 hasRelatedWork W2952216749 @default.
- W2903883786 hasRelatedWork W2969635709 @default.
- W2903883786 hasRelatedWork W3037784022 @default.
- W2903883786 hasRelatedWork W4229963900 @default.
- W2903883786 hasRelatedWork W4234996786 @default.
- W2903883786 hasVolume "128" @default.
- W2903883786 isParatext "false" @default.
- W2903883786 isRetracted "false" @default.
- W2903883786 magId "2903883786" @default.
- W2903883786 workType "article" @default.