An approach to obtain the generalized mixed linear stress function for known owa weights with artificial bee colony algorithm

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Efsun Coşkun
Resmiye Nasiboglu
Baris Tekin Tezel

Abstract

Abstract


OWA (Ordered Weighted Averaging) is a flexible aggregation operator which is come up with Yager to create a decision function in multi-criteria decision making. It is possible to determine how optimistic or pessimistic the decision maker's opinion with the value obtained from the weights of this operator. The determination of OWA weights cannot provide characterization by itself. If it is desired to aggregate various sized objects in terms of generalization and reusability of OWA weights, a more general form is needed. In this study, we propose the parameterized piecewise linear stress function and the approach to characterize OWA weights. The stress function is expressed by parameters which are obtained by artificial bee colony algorithm. Also the weights are approximately found by using parameters.



Keywords – OWA operator, aggregation, artificial bee colony algorithm.

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How to Cite
Coşkun, E., Nasiboglu, R., & Tezel, B. T. (2017). An approach to obtain the generalized mixed linear stress function for known owa weights with artificial bee colony algorithm. Global Journal of Information Technology: Emerging Technologies, 6(3), 150–157. https://doi.org/10.18844/gjit.v6i3.1880
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Author Biographies

Resmiye Nasiboglu, Department of Computer Sciences, Dokuz Eylul University, 35210, Izmir, Turkey

Department of Computer Sciences, Dokuz Eylul University, 35210, Izmir, Turkey

Baris Tekin Tezel, Department of Computer Sciences, Dokuz Eylul University, 35210, Izmir, Turkey

Department of Computer Sciences, Dokuz Eylul University, 35210, Izmir, Turkey
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