Building Multi-Attribute Decision Model Based on Kansei Information in Environment with Hybrid Uncertainty

  • Junzo Watada
  • Nureize Arbaiy
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)


The objective of this paper is to build multi attribute decision model considering Kansei information in hybrid uncertain environment. First, fuzzy random variable is explained to deal with the models in hybrid uncertain environment. Second, using fuzzy random variables, linear regression model (FRRM) is formulated. Third, multi-attribute decision model (MADM) is built based on linear regression model. Finally, multi-attribute decision model is presented in presence of Kansei information given by experts in an environment with hybrid uncertainty involving both randomness and fuzziness.


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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Junzo Watada
    • 1
  • Nureize Arbaiy
    • 1
  1. 1.Graduate School of Informtion, Production and SystemWaseda UniversityKitakyushuJapan

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