Mathematical Modelling of Decision Making Support Systems Using Fuzzy Cognitive Maps

  • Peter P. Groumpos
  • Ioannis E. Karagiannis
Part of the Studies in Computational Intelligence book series (SCI, volume 444)


This chapter critically analyses the nature and state of Decision Support Systems (DSS) theories, research and applications. A thorough and extensive historical review of DSS is provided which focuses on the evolution of a number of sub-groupings of research and practice: personal decision support systems, group support systems, negotiation support systems, intelligent decision support systems, knowledge management- based DSS, executive information systems/ business intelligence, and data warehousing. The need for new DSS methodologies and tools is investigated. The DSS area has remained vital as technology has evolved and our understanding of Decision-Making process has deepened. DSS over the last twenty years has contributed both breadth and depth to DSS research. The challenge now is to make sense of it in ‘’Decision Making” by planning it in understanding context and by searching new ways to utilize other advanced methodologies. The possibility of using Fuzzy Logic, Fuzzy Cognitive Maps and Intelligent Control in DSS is reviewed and analyzed. A new generic method for DSS is proposed, the Decision Making Support System (DMSS). Basic components of the new generic method are provided and fully analyzed. Case studies are given showing the usefulness of the proposed method.


Decision Support Systems Intelligent Control Fuzzy Systems Decision Making Support Systems Fuzzy Cognitive Maps 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Peter P. Groumpos
    • 1
  • Ioannis E. Karagiannis
    • 1
  1. 1.Laboratory for Automation and Robotics Department of Electrical and Computer EngineeringUniversity of PatrasRioGreece

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