A New Stochastic MCDM Approach Based on COPRAS

Yelda Ayrim (), Kumru Didem Atalay () and Gülin Feryal Can ()
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Yelda Ayrim: Department of Industrial Engineering, Başkent University, Eskişehir Yolu 20.km Bağlica, Kampüsü 06970, Ankara, Turkey
Kumru Didem Atalay: Department of Industrial Engineering, Başkent University, Eskişehir Yolu 20.km Bağlica, Kampüsü 06970, Ankara, Turkey
Gülin Feryal Can: Department of Industrial Engineering, Başkent University, Eskişehir Yolu 20.km Bağlica, Kampüsü 06970, Ankara, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 03, 857-882

Abstract: This study proposes a novel integrated Complex Proportional Assessment (COPRAS) approach by using stochastic decision process named as Stochastic COPRAS (COPRAS-S) to increase the evaluation performance of COPRAS. In COPRAS-S, criteria importance weights and the performance values of alternatives are determined by generating random numbers from uniform distribution in a range of minimum and maximum values of a limited number of decision-maker evaluations. Thus, the numbers of experts are increased and decision-making process is performed in an effective way because different opinions are incorporated. In addition, randomness feature brought with vagueness in decision is modeled in this process. A special normalization approach based on standard deviation is also implemented in COPRAS-S. In this way, cost and benefit type criteria are evaluated in a different way. This proposed stochastic structure for COPRAS is a practical and powerful tool that strengthens the decision.

Keywords: Continuous uniform distribution; MCDM; Stochastic COPRAS; cargo firm selection (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0219622018500116

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