• DocumentCode
    3443516
  • Title

    Intelligent system design support by fuzzy-multi-criteria decision making and/or evolutionary algorithms

  • Author

    Zimmermann, H.-J. ; Sebastian, H.J.

  • Author_Institution
    Rheinisch-Westfalisches Tech. Hochschule Aachen, Germany
  • Volume
    1
  • fYear
    1995
  • fDate
    20-24 Mar 1995
  • Firstpage
    367
  • Abstract
    The complexity of the environment, in which strategic decisions are made, seems to be the main reason why intelligent decision support systems (IDSS, also called active DSS - ADSS) are needed. There are several reasons for the complexity: the information and knowledge for the decisions is incomplete, uncertain or imprecise or even inconsistent, the information overload is still increasing, there are multiple, often conflicting goals and multiple different type constraints, there are time constraints for the decisions in a changing environment, and there is a tendency towards group decision making. The authors present methods, technologies and techniques for the development of IDSS
  • Keywords
    decision support systems; fuzzy logic; knowledge based systems; ADSS; IDSS; active DSS; evolutionary algorithms; fuzzy-multicriteria decision making; group decision-making; information overload; intelligent DSS; intelligent decision support systems; type constraints; Artificial intelligence; Data analysis; Decision making; Decision support systems; Evolutionary computation; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Intelligent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-2461-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1995.409705
  • Filename
    409705