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An Objective Function of Artificial Psychology for a Computer System of Fashion Fitting

  • Conference paper
Constructing and Applying Objective Functions

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 510))

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Abstract

One of the main tasks of artificial psychology (AP), a branch of artificial intelligence, is constructing objective functions of human preferences. These objective functions are needed in computer implementations of AP.

In this paper, we construct an AP objective function for fashion fitting from interviewing experts. We apply the quantification theory and the theory of fuzzy sets to represent qualitative characteristics by numerical variables. A user-friendly interface to the corresponding computer system is implemented in Visual Basic and Access database.

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References

  • Dong WENQUAN (1987): Theory of quantification and application, Jiling People Press, Changchun (in Chinese).

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Author information

Authors and Affiliations

  1. School of Information, University of Science of Technology (USTB), Beijing, 100083, P.R. China

    ZhiLiang Wang, Yanling Zhao & Lele Zou

  2. Dept. of Information Science, School of Science and Engineering, Tokyo University, Japan

    Masaeake Nagai

Authors
  1. ZhiLiang Wang
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  2. Yanling Zhao
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  3. Lele Zou
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  4. Masaeake Nagai
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Editor information

Editors and Affiliations

  1. University of Hagen ESG, Feithstrasse 140, 58084, Hagen, Germany

    Andranik S. Tangian  & Josef Gruber  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Wang, Z., Zhao, Y., Zou, L., Nagai, M. (2002). An Objective Function of Artificial Psychology for a Computer System of Fashion Fitting. In: Tangian, A.S., Gruber, J. (eds) Constructing and Applying Objective Functions. Lecture Notes in Economics and Mathematical Systems, vol 510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56038-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-56038-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42669-1

  • Online ISBN: 978-3-642-56038-5

  • eBook Packages: Springer Book Archive

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