DocumentCode :
289078
Title :
Structural analysis of decision models
Author :
Orman, Levent V.
Author_Institution :
Johnson Graduate Sch. of Manage., Cornell Univ., Ithaca, NY, USA
Volume :
3
fYear :
1995
fDate :
3-6 Jan 1995
Firstpage :
408
Abstract :
Modern organizations rely extensively on computer based mathematical models designed to solve various statistical, optimization, and decision making problems, or to enhance the quality of the decisions made by humans. These models do not exist in isolation, but form complex relationships with each other resulting in organizational model bases. Large model bases require extensive structuring and organization to reduce complexity. Abstraction and decomposition are the two major tools of organization, and are shown to be the basis of macro and micro structure respectively. Both abstraction and decomposition are studied within a framework of model definition based on data models and constraints
Keywords :
business data processing; decision support systems; mathematics computing; optimisation; statistical analysis; abstraction; complexity; computer based mathematical models; constraints; data models; decision making problems; decision models; decomposition; macro structure; micro structure; optimization problems; organizational model bases; organizations; statistical problems; structural analysis; Constraint optimization; Couplings; Data models; Decision making; Design optimization; Humans; Mathematical model; Modems; Quality management; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
Type :
conf
DOI :
10.1109/HICSS.1995.375623
Filename :
375623
Link To Document :
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