Browsing by Author "Yu, Po Lung"

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Decision Making and Optimization in Changeable Spaces, a New Paradigm
(2012-12-01)
Larbani, Moussa
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Yu, Po Lung
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
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.
Linear programming models with changeable parameters - Theoretical analysis on "taking loss at the ordering time and making profit at the delivery time"
(2007-12-01)
Chianglin, Chieh Yow
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Lai, Tsung Chih
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Yu, Po Lung
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資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Corporate competence sets can be expanded through capital investment and be dynamically changed overtime, which can explain the phenomenon of "taking loss at the ordering time and making profit at the time of delivery". Such phenomenon has existed in practice for a long time, but there are no mathematical model that can explain it adequately. This paper utilizes multiple criteria and multiple constraint levels linear programming ((MCLP)-L-2) model and its extended techniques to explore the linear programming models with changeable parameters. The parameters include: unit profit, available resources, and input-output coefficients of production function. With those parameters changed with capital investment and/or time, we study how to find dynamic best solutions to make "taking loss at the ordering time and making profit at the time of delivery" feasible. For more general cases we also sketch a generalized mathematical programming model with changeable parameters and control variables.
REACHING WIN-WIN STATE OF MIND IN GAMES, FORMULATION AND SOLUTION
(2009)
Larbani, Moussa
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Yu, Po Lung
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資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Human psychology determines his/her action and behavior. This fact has not been fully incorporated in game theory. This paper intends to incorporate human psychology in formulating games as people play them. Using Habitual Domains and Markov chains theory, we present a new model for describing the evolution of the states of mind of players over time, the two person second order game. We introduce the concept of focal mind profile as well as the solution concept of win-win mind profile. Under some suitable assumptions, the restructuring game to reach a win-win mind profile can be formulated into a discrete optimal control problem. We illustrate the formulation with an example.