data envelopment analysis with fuzzy random inputs and outputs: a chance-constrained programming approach

نویسندگان

saeed ramezanzadeh

azizollah memariani

saber saati

چکیده

in this paper, we deal with fuzzy random variables for inputs andoutputs in data envelopment analysis (dea). these variables are considered as fuzzyrandom flat lr numbers with known distribution. the problem is to find a method forconverting the imprecise chance-constrained dea model into a crisp one. this can bedone by first, defuzzification of imprecise probability by constructing a suitablemembership function, second, defuzzification of the parameters using an α-cut andfinally, converting the chance-constrained dea into a crisp model using the methodof cooper [4].

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عنوان ژورنال:
iranian journal of fuzzy systems

ناشر: university of sistan and baluchestan

ISSN 1735-0654

دوره 2

شماره 2 2005

میزبانی شده توسط پلتفرم ابری doprax.com

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