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 output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages496-501
Number of pages6
ISBN (Print)1424412145, 9781424412143
DOIs
Publication statusPublished - 12 Oct 2007
Externally publishedYes
EventNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society - San Diego, CA, United States
Duration: 24 Jun 200727 Jun 2007

Conference

ConferenceNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
Country/TerritoryUnited States
CitySan Diego, CA
Period24/06/0727/06/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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