A Computing with Words Based Approach to Multicriteria Energy Planning

  • Hong-Bin Yan
  • Tieju Ma
  • Yoshiteru Nakamori
  • Van-Nam Huynh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7027)


Exploitation of new and innovative energy alternatives is a key means towards a sustainable energy system. This paper proposes a linguistic energy planning model with computation solely on words as well as considering the policy-maker’s preference information. To do so, a probabilistic approach is first proposed to derive the underlying semantic overlapping of linguistic labels from their associated fuzzy membership functions. Second, a satisfactory-oriented choice function is proposed to incorporate the policy-maker’s preference information. Third, our model is extended to multicriteria case with linguistic importance weights. One example, borrowed from the literature, is used to show the effectiveness and advantages of our model.


Fuzzy Subset Energy Planning Linguistic Label Fuzzy Preference Relation Very High 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hong-Bin Yan
    • 1
  • Tieju Ma
    • 1
  • Yoshiteru Nakamori
    • 2
  • Van-Nam Huynh
    • 2
  1. 1.School of BusinessEast China University of Science and TechnologyShanghaiP.R. China
  2. 2.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyNomi CityJapan

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