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
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