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An interactive algorithm for multiobjective ranking for underlying linear and quasiconcave value functions
Date
2019-07-29
Author
TEZCANER ÖZTÜRK, DİCLEHAN
Köksalan, Mustafa Murat
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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We develop interactive algorithms to find a strict total order for a set of discrete alternatives for two different value functions: linear and quasiconcave. The algorithms first construct a preference matrix and then find a strict total order. Based on the ordering, they select a meaningful pair of alternatives to present the decision maker (DM) for comparison. We employ methods to find all implied preferences of the DM, after he or she makes a preference. Considering all the preferences of the DM, the preference matrix is updated and a new strict total order is obtained until the termination conditions are met. We test the algorithms on several instances. The algorithms show fast convergence to the exact total order for both value functions, and eliciting preference information progressively proves to be efficient.
Subject Keywords
Management of Technology and Innovation
,
Management Science and Operations Research
,
Strategy and Management
,
Business and International Management
,
Computer Science Applications
URI
https://hdl.handle.net/11511/52214
Journal
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
DOI
https://doi.org/10.1111/itor.12704
Collections
Department of Industrial Engineering, Article
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D. TEZCANER ÖZTÜRK and M. M. Köksalan, “An interactive algorithm for multiobjective ranking for underlying linear and quasiconcave value functions,”
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
, pp. 0–0, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52214.