Abstract
Complex interrelated problems require a scrutiny of their nature and problem solving paradigms. Furthermore they require computerization of building and processing of mathematical models. The place of model analysis within model management, and its elements are discussed. Some questions and metaquestions relevant to the quality assurance of system design for complex problems are listed under the following six categories: 1) problem and problem solving paradigms, 2) goals, 3) performance measures, 4) decision and its components, 5) system, and 6) resources.
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Ören, T.I. (1983). Quality Assurance of System Design and Model Management for Complex Problems. In: Wedde, H. (eds) Adequate Modeling of Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69208-6_31
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DOI: https://doi.org/10.1007/978-3-642-69208-6_31
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