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

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  • Esfandyar Lashani

    (Islamic Azad university)

  • Kourosh Aryavash

    (Islamic Azad university)

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.

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  • Esfandyar Lashani & Kourosh Aryavash, 2018. "The optimistic–pessimistic revenue distribution in the presence of imprecise data," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 288-301, June.
    • Handle: RePEc:spr:opsear:v:55:y:2018:i:2:d:10.1007_s12597-017-0320-y
    DOI: 10.1007/s12597-017-0320-y
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    References listed on IDEAS

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    1. Ramin Gharizadeh Beiragh & Reza Alizadeh & Saeid Shafiei Kaleibari & Fausto Cavallaro & Sarfaraz Hashemkhani Zolfani & Romualdas Bausys & Abbas Mardani, 2020. "An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies," Sustainability, MDPI, vol. 12(3), pages 1-24, January.

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