Fuzzy multi-criteria group decision support in long-term options of Belgian energy policy

Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Fengjie Wu, Frank Hardeman

    Research outputpeer-review

    Abstract

    Decision making requires multiple perspectives of different people as one single decision maker may have not enough knowledge to well solve a problem alone. This is particularly true when the decision environment becomes more complex. More organizational decisions are made now in groups than ever before. Group decision making is thus a process of arriving at a judgment or a solution for a decision problem based on the input and feedback of multiple individuals. At the same time in practice, multi-criteria problems at tactical and strategic levels often involve fuzziness in their criteria and decision makers' judgments. Relevant alternatives are evaluated according to a number of criteria. Fuzzy logic based multi-criteria group decision support is justified to analysis long-term options for Belgian energy policy in this paper.

    Original languageEnglish
    Title of host publicationNAFIPS 2007
    Subtitle of host publication2007 Annual Meeting of the North American Fuzzy Information Processing Society
    Place of PublicationNY, United States
    Pages496-501
    Number of pages6
    Volume1
    DOIs
    StatePublished - Jul 2007
    EventNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society - San Diego, CA
    Duration: 24 Jun 200727 Jun 2007

    Publication series

    NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

    Conference

    ConferenceNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period2007-06-242007-06-27

    ASJC Scopus subject areas

    • General Computer Science
    • General Mathematics

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