AN ALGORITHM FOR SOLVING RULE SETS–BASED BILEVEL DECISION PROBLEMS |
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| Authors: | Guang‐Quan Zhang Zheng Zheng Jie Lu Qing He |
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| Affiliation: | 1. Decision Systems & e‐Service Intelligence Lab, Centre for Quantum Computation & Intelligent Systems, School of Software, The Faculty of Information Technology, University of Technology, Sydney, Australia;2. Beijing University of Aeronautics and Astronautics, Beijing, China;3. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China |
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| Abstract: | Bilevel decision addresses the problem in which two levels of decision makers each tries to optimize their individual objectives under certain constraints, and to act and react in an uncooperative and sequential manner. Given the difficulty of formulating a bilevel decision problem by mathematical functions, a rule sets–based bilevel decision (RSBLD) model was proposed. This article presents an algorithm to solve a RSBLD problem. A case‐based example is given to illustrate the functions of the proposed algorithm. Finally, a set of experiments is analyzed to further show the functions and the effectiveness of the proposed algorithm. |
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| Keywords: | Decision‐making model rule sets bilevel decision making optimization algorithm |
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