An Extended Normal distribution on Fuzzy Stochastic Data Envelopment Analysis

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 478

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شناسه ملی سند علمی:

ICIORS10_136

تاریخ نمایه سازی: 11 شهریور 1397

چکیده مقاله:

Data Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of Decision Making Units (DMUs) with multiple inputs and multiple outputs. However, in real-world problems, the observed values of the input and output data are often vague or random. Indeed, Decision Makers (DMs) may encounter a hybrid uncertain environment where fuzziness and randomness coexist in a problem. This paper introduces a normal distribution with fuzzy component. The proposed distribution interprets a class of fuzzy random variables. The extensions to the fuzzy-stochastic environment sometimes may be laid to disregard some of the properties in DEA models such linearity and feasibility. In this way, we apply an extended normal distribution with a modified fuzzy ranking method on a new version of CCR-DEA model.

نویسندگان

Hadi Nasseri

Department of Mathematics, University of Mazandaran, Babolsar, Iran

Omid Gholami

Department of Mathematics, University of Mazandaran, Babolsar, Iran Maryam Olfati, Technical University of Ostrava, Ostrava, Czech Republic