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Building Linguistic Random Regression Model and Its Application

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Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 15))

Abstract

The objective of this paper is to build a model for the linguist random regression model as a vehicle to solve linguistic assessment given by experts. The difficulty in the direct measurement of certain characteristics makes their estimation highly impressive and this situation results in the use of fuzzy sets. In this sense, the linguistic treatment of assessments becomes essential when fully reflecting the subjectivity of the judgment process. When we know the attributes assessment, the linguistic regression model get the total assessment.

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References

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Author information

Authors and Affiliations

  1. Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, 808-0135, Japan

    Sha Li, Shinya Imai & Junzo Watada

Authors
  1. Sha Li
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  2. Shinya Imai
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  3. Junzo Watada
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Corresponding author

Correspondence to Sha Li .

Editor information

Editors and Affiliations

  1. Graduate School of Information,, Production & Systems (IPS), Waseda University, Hibikino 2-7, Kitakyushu, 808-0135, Japan

    Junzo Watada

  2. Graduate School of Information Science, Nagoya University, Furo-cho, Nagoya, 464-8601, Japan

    Toyohide Watanabe

  3. Sellinger School of Business and, Management, Loyola University Maryland, Charles Street 4501 N, Baltimore, 21210, USA

    Gloria Phillips-Wren

  4. KES International, PO Box 2115, Shoreham-by-Sea, BN43 9AF, United Kingdom

    Robert J. Howlett

  5. , School of Electrical and Information, University of South Australia, 5095, Adelaide, Australia

    Lakhmi C. Jain

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, S., Imai, S., Watada, J. (2012). Building Linguistic Random Regression Model and Its Application. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29977-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-29977-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29976-6

  • Online ISBN: 978-3-642-29977-3

  • eBook Packages: EngineeringEngineering (R0)

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