<ctx:context-object xsi:schemaLocation="info:ofi/fmt:xml:xsd:ctx http://www.openurl.info/registry/docs/info:ofi/fmt:xml:xsd:ctx" timestamp="2021-08-27T17:14:49Z" xmlns:ctx="info:ofi/fmt:xml:xsd:ctx" xmlns:xsi="http://www.w3.org/2001/XML"><ctx:referent><ctx:identifier>info:oai:pure.iiasa.ac.at:4125</ctx:identifier><ctx:metadata-by-val><ctx:format>info:ofi/fmt:xml:xsd:oai_dc</ctx:format><ctx:metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/">
        <dc:relation>https://pure.iiasa.ac.at/id/eprint/4125/</dc:relation>
        <dc:title>Design and Implementation of Model-based Decision Support Systems</dc:title>
        <dc:creator>Makowski, M.</dc:creator>
        <dc:description>Decision making often requires the analysis of large amount of data and complex relations. Computerized tools designed and implemented for such purposes are called Decision Support Systems (DSS). A DSS, which is typically a problem specific tool, usually helps in the evaluation of consequences of given decisions and may advise what decision would be the best for achieving a given set of goals. In such cases, an analysis of a mathematical model can support rational decision making. &#13;
&#13;
The paper provides an overview of the methodology of the design and deals with practical aspects related to implementations of model-based decision support systems. In particular, different approaches to the analysis of a model using simulation and optimization are summarized. Various optimization techniques are discussed in this context, including multi-criteria optimization used for a model analysis. The paper summarizes also problems of hardware selection and of software development. Modular software tools applicable to DSSs, including a tool for data interchange, are characterized. Selected issues of implementations of modular solvers and of applications of artificial neural nets to decision support are also presented.</dc:description>
        <dc:publisher>WP-94-086</dc:publisher>
        <dc:date>1994-12</dc:date>
        <dc:type>Monograph</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
        <dc:format>text</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>https://pure.iiasa.ac.at/id/eprint/4125/1/WP-94-086.pdf</dc:identifier>
        <dc:identifier>  Makowski, M. &lt;https://pure.iiasa.ac.at/view/iiasa/193.html&gt; ORCID: https://orcid.org/0000-0002-6107-0972 &lt;https://orcid.org/0000-0002-6107-0972&gt;  (1994).  Design and Implementation of Model-based Decision Support Systems.   IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-086     </dc:identifier></oai_dc:dc></ctx:metadata></ctx:metadata-by-val></ctx:referent></ctx:context-object>