Decision Making and Optimization in Changeable Spaces, A Paradigm Shift
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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iium-267582013-04-30T07:26:54Z http://irep.iium.edu.my/26758/ Decision Making and Optimization in Changeable Spaces, A Paradigm Shift 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. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26758/1/Kuantan_Conference_2.ppt Larbani, Moussa and Yu, Po-Lung (2012) Decision Making and Optimization in Changeable Spaces, A Paradigm Shift. In: 4th International Conference on Advancement in Science and Technology (iCAST), 7-10 November, 2012, Kuntan. (Unpublished) |
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English |
topic |
HB131 Methodology.Mathematical economics. Quantitative methods |
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HB131 Methodology.Mathematical economics. Quantitative methods Larbani, Moussa Yu, Po-Lung Decision Making and Optimization in Changeable Spaces, A Paradigm Shift |
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 |
Conference or Workshop Item |
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 Paradigm Shift
|
title_short |
Decision Making and Optimization in Changeable Spaces, A Paradigm Shift
|
title_full |
Decision Making and Optimization in Changeable Spaces, A Paradigm Shift
|
title_fullStr |
Decision Making and Optimization in Changeable Spaces, A Paradigm Shift
|
title_full_unstemmed |
Decision Making and Optimization in Changeable Spaces, A Paradigm Shift
|
title_sort |
decision making and optimization in changeable spaces, a paradigm shift |
publishDate |
2012 |
url |
http://irep.iium.edu.my/26758/ http://irep.iium.edu.my/26758/1/Kuantan_Conference_2.ppt |
first_indexed |
2023-09-18T20:39:49Z |
last_indexed |
2023-09-18T20:39:49Z |
_version_ |
1777409290026352640 |