Interactive algorithms for a broad underlying family of preference functions

Date

2018-02-16

Author

Karakaya, Gülşah
AHİPAŞAOĞLU, Selin Damla

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In multi-criteria decision making approaches it is typical to consider an underlying preference function that is assumed to represent the decision maker's preferences. In this paper we introduce a broad family of preference functions that can represent a wide variety of preference structures. We develop the necessary theory and interactive algorithms for both the general family of the preference functions and for its special cases. The algorithms guarantee to find the most preferred solution (point) of the decision maker under the assumed conditions. The convergence of the algorithms are achieved by progressively reducing the solution space based on the preference information obtained from the decision maker and the properties of the assumed underlying preference functions. We first demonstrate the algorithms on a simple bi-criteria problem with a given set of available points. We also test the performances of the algorithms on three-criteria knapsack problems and show that they work well.

Subject Keywords

Management Science and Operations Research, Modelling and Simulation, Information Systems and Management

URI

https://hdl.handle.net/11511/42475

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

DOI

https://doi.org/10.1016/j.ejor.2017.07.028

Collections

Department of Business Administration, Article

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Citation Formats

G. Karakaya and S. D. AHİPAŞAOĞLU, “Interactive algorithms for a broad underlying family of preference functions,” EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, pp. 248–262, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42475.