Decision Making and Optimization in Changeable Spaces, a New Paradigm
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 decisi...
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my.iium.irep.267522014-07-17T03:12:00Z http://irep.iium.edu.my/26752/ Decision Making and Optimization in Changeable Spaces, a New Paradigm Larbani, Moussa Yu, Po Lung HB131 Methodology.Mathematical economics. Quantitative methods 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. Springer/Plenum Publishers 2012 Article REM application/pdf en http://irep.iium.edu.my/26752/1/Decision_Making_in_Changeable_spaces.pdf application/pdf en http://irep.iium.edu.my/26752/4/DM_Changeable_Published.pdf Larbani, Moussa and Yu, Po Lung (2012) Decision Making and Optimization in Changeable Spaces, a New Paradigm. Journal of Optimization Theory and Applications, 155 (3). pp. 727-761. ISSN 0022-3239 http://www.springer.com/mathematics/journal/10957 DOI 10.1007/s10957-012-0103-9 |
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HB131 Methodology.Mathematical economics. Quantitative methods Larbani, Moussa Yu, Po Lung Decision Making and Optimization in Changeable Spaces, a New Paradigm |
description |
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. |
format |
Article |
author |
Larbani, Moussa Yu, Po Lung |
author_facet |
Larbani, Moussa Yu, Po Lung |
author_sort |
Larbani, Moussa |
title |
Decision Making and Optimization in Changeable
Spaces, a New Paradigm |
title_short |
Decision Making and Optimization in Changeable
Spaces, a New Paradigm |
title_full |
Decision Making and Optimization in Changeable
Spaces, a New Paradigm |
title_fullStr |
Decision Making and Optimization in Changeable
Spaces, a New Paradigm |
title_full_unstemmed |
Decision Making and Optimization in Changeable
Spaces, a New Paradigm |
title_sort |
decision making and optimization in changeable
spaces, a new paradigm |
publisher |
Springer/Plenum Publishers |
publishDate |
2012 |
url |
http://irep.iium.edu.my/26752/1/Decision_Making_in_Changeable_spaces.pdf http://irep.iium.edu.my/26752/4/DM_Changeable_Published.pdf http://irep.iium.edu.my/26752/ http://www.springer.com/mathematics/journal/10957 |
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1643609201353687040 |
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13.15806 |