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Cited by 434

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Controlling Factor Weights in Data Envelopment Analysis

ROLL, YAAKOV, COOK, WADE D., GOLANY, BOAZ·1991·IIE Transactions

Abstract

Data Envelopment Analysis (DEA) is a mathematical programming approach to assessing relative efficiencies within a group of Decision Making Units (DMUs). An important outcome of such an analysis is a set of virtual multipliers or weights accorded to each (input or output) factor taken into account. These sets of weights are, typically, different for each of the participating DMUs. A version of the DEA model is offered where bounds are imposed on weights, thus reducing the variation in the importance accorded to the same factor by the various DMUs. Techniques for locating appropriate bounds are suggested and the notion of a common set of weights is examined. Possible interpretations to differences in efficiency ratings obtained with the various models developed are discussed.

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Metadata

Authors
ROLL, Y., COOK, W. D., & GOLANY, B.
Venue
IIE Transactions
Published
1991-03
Volume
23
Issue
1
Pages
2-9
ISSN
  • 0740-817X (ISSN-L)
  • 1545-8830
OpenAlex
W2013858410
Cited by
434
References
10
FWCI
2.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Controlling Factor Weights in Data Envelopment Analysis. https://app.cochat.ai/papers/10.1080/07408179108963835
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ROLL, Y., COOK, W. D., & GOLANY, B. (1991). Controlling Factor Weights in Data Envelopment Analysis. IIE Transactions. https://doi.org/10.1080/07408179108963835

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