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DECISION CONTROL APPLICATION IN COMPLEX SYSTEMS: AN INOVATIVE DECISION-MAKING SUPPORT STRATEGY
by
Andreev, Rumen
, Pavlov, Yuri
in
Decision making
2013
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DECISION CONTROL APPLICATION IN COMPLEX SYSTEMS: AN INOVATIVE DECISION-MAKING SUPPORT STRATEGY
by
Andreev, Rumen
, Pavlov, Yuri
in
Decision making
2013
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DECISION CONTROL APPLICATION IN COMPLEX SYSTEMS: AN INOVATIVE DECISION-MAKING SUPPORT STRATEGY
Conference Proceeding
DECISION CONTROL APPLICATION IN COMPLEX SYSTEMS: AN INOVATIVE DECISION-MAKING SUPPORT STRATEGY
2013
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Overview
Decision-making support strategy is an important factor that determines a top-down approach to development of Decision-Making Support Systems (DMSS). This strategy depends on the objective that has to be achieved in supporting of decision maker. Since it is known four major objectives, the authors have defined the following strategies: problem formulation-driven, decision model-driven, decision-driven and decision implementation driven. Respectively, this article presents a categorization of decision making support and an application of an innovative approach to decision making. It combines two strategies -- model-driven and decision-driven. The decision-driven DMSS concerns decision aiding that is considered in the context of Personal Decision Analysis (PDA). This article presents a decision technology, that is suitable for realization of PDA decision tool quantifying personnel judgment. The authors have demonstrate this system engineering value driven approach within determination of the equilibrium points in the competitive trading modeled by the Edgworth box. The contract curves and the trading equilibrium in the Edgworth box are specified on the individual consumers' preferences.
Publisher
International Conference on Application of Information and Communication Technology and Statistics and Economy and Education (ICAICTSEE)
Subject
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