Paper Info
Title
Decision Making and Optimization in Changeable Spaces, a New Paradigm.
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.
Year
DOI
Venue
2012
10.1007/s10957-012-0103-9
J. Optimization Theory and Applications
Keywords
Field
DocType
parameters,covering
Decision rule,Decision analysis,Mathematical optimization,Domain theory,Business decision mapping,Influence diagram,Knowledge extraction,Mathematics,Decision-making,Decision engineering
Journal
Volume
Issue
ISSN
155
3
1573-2878
Citations 
PageRank 
References 
2
0.44
5
Authors
2
Name
Order
Citations
PageRank
Moussa Larbani110211.65
Po-Lung Yu2357.45