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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer/Plenum Publishers
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/26752/ http://irep.iium.edu.my/26752/ http://irep.iium.edu.my/26752/ http://irep.iium.edu.my/26752/1/Decision_Making_in_Changeable_spaces.pdf http://irep.iium.edu.my/26752/4/DM_Changeable_Published.pdf |
| Summary: | 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. |
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