Title: Decision Making and Optimization in Changeable Spaces, a New Paradigm
Authors: Larbani, Moussa
Yu, Po Lung
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Keywords: Habitual domains;Decision making;Changeable spaces;Parameters;Covering;Discovering;Competence set;Decision blinds;Decision traps
Issue Date: 1-Dec-2012
Abstract: This paper proposes a new decision making/optimization paradigm, the decision making/optimization in changeable spaces (DM/OCS). The unique feature of DM/OCS is that it incorporates human psychology and its dynamics as part of the decision making process and allows the restructuring of the decision parameters. DM/OCS is based on Habitual Domain theory, the decision parameters, the concept of competence set, and the mental operators 7-8-9 principles of deep knowledge. The covering and discovering processes are formulated as DM/OCS problems. Some illustrative examples of challenging problems that cannot be solved by traditional decision making/optimization techniques are formulated as DM/OCS problems and solved. In addition, some directions of research related to innovation dynamics, management, artificial intelligence, artificial and e-economics, scientific discovery, and knowledge extraction are provided in the conclusion.
URI: http://dx.doi.org/10.1007/s10957-012-0103-9
http://hdl.handle.net/11536/20594
ISSN: 0022-3239
DOI: 10.1007/s10957-012-0103-9
Journal: JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Volume: 155
Issue: 3
Begin Page: 727
End Page: 761
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