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Data Envelopment Analysis

Kaoru Tone
- 01 Jan 1996 - 
- Vol. 8, Iss: 1, pp 11-14
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This article is published in Journal of Japan Society for Fuzzy Theory and Systems.The article was published on 1996-01-01 and is currently open access. It has received 1529 citations till now. The article focuses on the topics: Data envelopment analysis.

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Citations
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Modeling undesirable factors in efficiency evaluation

TL;DR: It is shown that the standard DEA model can be used to improve the performance via increasing the desirable outputs and decreasing the undesirable outputs, and the linearity and convexity of DEA are preserved.
Journal ArticleDOI

A survey of data envelopment analysis in energy and environmental studies

TL;DR: A literature survey on the application of data envelopment analysis (DEA) to E&E studies is presented and an introduction to the most widely used DEA techniques is introduced.
Journal ArticleDOI

Data envelopment analysis: The evolution of the state of the art (1978–1995)

TL;DR: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA).
Journal ArticleDOI

Using least squares and tobit in second stage DEA efficiency analyses

TL;DR: Examination of second stage DEA efficiency analyses, within the context of a censoring data generating process (DGP) and a fractional data DGP, when efficiency scores are treated as descriptive measures of the relative performance of units in the sample suggests Tobit estimation in this situation is inappropriate.
Journal ArticleDOI

Eco-efficiency analysis of power plants: An extension of data envelopment analysis

TL;DR: Two different approaches are applied to the problem of measuring the efficiency of 24 power plants in a European country, treating pollutants as the inputs in the sense that they wish to increase desirable outputs and decrease pollutants and inputs.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.