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Aggregation of Preferences Based on FSAM

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

We propose a new ε-ASA (Aggregation based on Situation Assessment) algorithm based on the fuzzy situation assessment model (FSAM) to reflect a situation in the process of aggregation. The proposed aggregation algorithm makes an adaptive aggregation result between min and max depending on the value of parameter representing a degree of situation. It is a further step toward situation-based aggregation.

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Authors and Affiliations

  1. Dept.of MIS, Yuhan College, Koean-Dong, Sosa-Ku, Puchon, Kyoungki-Do, 422-749, Korea

    Dae-Young Choi

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  1. Dae-Young Choi
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Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Choi, DY. (2005). Aggregation of Preferences Based on FSAM. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_191

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  • DOI: https://doi.org/10.1007/11589990_191

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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