Metagraphs: A tool for modeling decision support systems Most decision support systems (DSS) contain stored data, data analysis procedures, and decision models. However, many DSS have grown to the point that the average end user is presented with a bewildering array of information resources that are difficult to manage in an effective manner. As a result users often gravitate to a few familiar models and are unaware of the data resources available to them and how these resources relate to the various models. For example, they may think that a model requires data that is unavailable, when in fact that data has recently been added to the data base or could be calculated from another model. Or they may believe that all of the data needed to execute a set of models is available and find out well into the analysis that it is not. Existing tools for DSS design do not provide an effective and comprehensive foundation for modeling all the components of a DSS, or for addressing all the important DSS analysis and design issues. In this paper we show how a new graph-theoretic structure, called a metagraph, can be used as a unifying basis for addressing many important questions in DSS development and use.

References in zbMATH (referenced in 18 articles , 1 standard article )

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  3. Asghar, Sohail; Alahakoon, Damminda; Churilov, Leonid: Categorization of disaster decision support needs for the development of an integrated model for DMDSS (2008)
  4. Basu, Amit; Blanning, Robert W.: Metagraphs and their applications. (2007)
  5. Madhusudan, Therani: A web services framework for distributed model management (2007)
  6. Mukherjee, Arindam; Sen, Anup Kumar; Bagchi, Amitava: The representation, analysis and verification of business processes: a metagraph-based approach (2007)
  7. Askira Gelman, Irit: Addressing time-scale differences among decision-makers through model abstractions (2005)
  8. Gayialis, Sotiris P.; Tatsiopoulos, Ilias P.: Design of an IT-driven decision support system for vehicle routing and scheduling. (2004)
  9. Hofacker, Ingo; Vetschera, Rudolf: Algorithmical approaches to business process design (2001)
  10. Tan, Zhenghua; Hu, Guangrui; Hou, Jiahua: Uncertain knowledge management in expert systems using fuzzy metagraphs (2000)
  11. Basu, Amit; Blanning, Robert W.: The analysis of assumptions in model bases using metagraphs (1998)
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  13. Basu, Amit; Blanning, Robert W.: A graph-theoretic approach to analyzing knowledge bases containing rules, models and data (1997)
  14. Basu, Amit; Blanning, Robert W.; Shtub, Avraham: Metagraphs in hierarchical modeling (1997)
  15. Chari, Kaushal; Sen, Tarun K.: An integrated modeling system for structured modeling using model graphs (1997)
  16. Ramesh, Balasubramaniam: Representing and reasoning with traceability in model life cycle management (1997)
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  18. Basu, Amit; Blanning, Robert W.: Metagraphs: A tool for modeling decision support systems (1994)