DATA ENVELOPMENT ANALYSIS WITH FUZZY RANDOM INPUTS AND OUTPUTS: A CHANCE-CONSTRAINED PROGRAMMING APPROACH

In this paper, we deal with fuzzy random variables for inputs and outputs in Data Envelopment Analysis (DEA). These variables are considered as fuzzy random flat LR numbers with known distribution. The problem is to find a method for converting the imprecise chance-constrained DEA model into a crisp...

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Vydáno v:Iranian journal of fuzzy systems (Online) Ročník 2; číslo 2; s. 21
Hlavní autoři: Ramezanzadeh, Saeed, Memariani, Azizollah, Saati, Saber
Médium: Journal Article
Jazyk:angličtina
Vydáno: Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 01.09.2005
Témata:
Data envelopment analysis
Random variables
ISSN:1735-0654, 2676-4334
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Shrnutí:In this paper, we deal with fuzzy random variables for inputs and outputs in Data Envelopment Analysis (DEA). These variables are considered as fuzzy random flat LR numbers with known distribution. The problem is to find a method for converting the imprecise chance-constrained DEA model into a crisp one. This can be done by first, defuzzification of imprecise probability by constructing a suitable membership function, second, defuzzification of the parameters using an α-cut and finally, converting the chance-constrained DEA into a crisp model using the method of Cooper [4].
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1735-0654
2676-4334
DOI:10.22111/ijfs.2005.479