Fuzzy efficiency without convexity

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Standard

Fuzzy efficiency without convexity. / Hougaard, Jens Leth; Balezentis, Tomas.

I: Fuzzy Sets and Systems, Bind 255, 2014, s. 17–29.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hougaard, JL & Balezentis, T 2014, 'Fuzzy efficiency without convexity', Fuzzy Sets and Systems, bind 255, s. 17–29. https://doi.org/10.1016/j.fss.2014.04.009

APA

Hougaard, J. L., & Balezentis, T. (2014). Fuzzy efficiency without convexity. Fuzzy Sets and Systems, 255, 17–29. https://doi.org/10.1016/j.fss.2014.04.009

Vancouver

Hougaard JL, Balezentis T. Fuzzy efficiency without convexity. Fuzzy Sets and Systems. 2014;255:17–29. https://doi.org/10.1016/j.fss.2014.04.009

Author

Hougaard, Jens Leth ; Balezentis, Tomas. / Fuzzy efficiency without convexity. I: Fuzzy Sets and Systems. 2014 ; Bind 255. s. 17–29.

Bibtex

@article{c84a9bc51bd54b1cb9181ae8e8a6c801,
title = "Fuzzy efficiency without convexity",
abstract = "In this paper we develop a fuzzy version of the crisp Free Disposal Hull (FDH) method for measuring technical efficiency for samples of similar production units. The FDH-method is basically Data Envelopment Analysis (DEA) without the underlying assumption of convexity of the technology set. Our approach builds directly upon the definition of Farrell's indexes of technical efficiency used in crisp FDH. Therefore we do not require the use of fuzzy programming techniques but only utilize ranking probabilities of intervals as well as a related definition of dominance between pairs of intervals. We illustrate the approach using a data set of 200 Lithuanian family farms for the period of 2004–2009.",
author = "Hougaard, {Jens Leth} and Tomas Balezentis",
year = "2014",
doi = "10.1016/j.fss.2014.04.009",
language = "English",
volume = "255",
pages = "17–29",
journal = "Fuzzy Sets and Systems",
issn = "0165-0114",
publisher = "Elsevier BV * North-Holland",

}

RIS

TY - JOUR

T1 - Fuzzy efficiency without convexity

AU - Hougaard, Jens Leth

AU - Balezentis, Tomas

PY - 2014

Y1 - 2014

N2 - In this paper we develop a fuzzy version of the crisp Free Disposal Hull (FDH) method for measuring technical efficiency for samples of similar production units. The FDH-method is basically Data Envelopment Analysis (DEA) without the underlying assumption of convexity of the technology set. Our approach builds directly upon the definition of Farrell's indexes of technical efficiency used in crisp FDH. Therefore we do not require the use of fuzzy programming techniques but only utilize ranking probabilities of intervals as well as a related definition of dominance between pairs of intervals. We illustrate the approach using a data set of 200 Lithuanian family farms for the period of 2004–2009.

AB - In this paper we develop a fuzzy version of the crisp Free Disposal Hull (FDH) method for measuring technical efficiency for samples of similar production units. The FDH-method is basically Data Envelopment Analysis (DEA) without the underlying assumption of convexity of the technology set. Our approach builds directly upon the definition of Farrell's indexes of technical efficiency used in crisp FDH. Therefore we do not require the use of fuzzy programming techniques but only utilize ranking probabilities of intervals as well as a related definition of dominance between pairs of intervals. We illustrate the approach using a data set of 200 Lithuanian family farms for the period of 2004–2009.

U2 - 10.1016/j.fss.2014.04.009

DO - 10.1016/j.fss.2014.04.009

M3 - Journal article

VL - 255

SP - 17

EP - 29

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

SN - 0165-0114

ER -

ID: 112937358