The optimistic–pessimistic revenue distribution in the presence of imprecise data

Esfandyar Lashani () and Kourosh Aryavash ()
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Esfandyar Lashani: Islamic Azad university
Kourosh Aryavash: Islamic Azad university

OPSEARCH, 2018, vol. 55, issue 2, No 4, 288-301

Abstract: Abstract In many situations, a common revenue or benefit must be distributed amongst a set of beneficiary decision making units (DMUs) with imprecise data represented by fuzzy or stochastic data. A fair revenue distribution can certainly increase the motivation of DMUs for improving their performances. The share of each DMU must be determined according to its eligibility. To access a fair distribution, we use an optimistic–pessimistic approach of data envelopment analysis which considers both weaknesses and strengths of DMUs. This method determines the share of each DMU according to a combination of its minimum and maximum possible shares which are respectively obtained under the pessimistic and optimistic approaches.

Keywords: Data envelopment analysis; Optimistic–pessimistic; Revenue distribution; Chance constrained programming; Fuzzy programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s12597-017-0320-y

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