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Consensus Modeling in Multiple Criteria Multi-expert Real Options-Based Valuation of Patents

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

In this paper we introduce a decision system for supporting the ranking of patents carried on by a group of experts in a multiple criteria fuzzy environment. The process starts with the creation of three value scenarios for each considered patent by each expert which are then used for the construction of individual fuzzy pay-off distribution functions for the patent value, here represented with triangular fuzzy numbers. Then, for each expert a TOPSIS matrix is estimated assuming that the scores are linguistically expressed due to the vagueness of individual judgments. We assume that the criteria are represented by the first three possibilistic moments of the pay-off distribution function and by a set of “strategic” attributes that describe different relevant aspects of the patents under analysis. A novel consensus modeling mechanism is then introduced to determine a coalition of experts whose TOPSIS-based evaluations are close enough. Finally, the coalition-based group TOPSIS ranking of patents is determined.

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Author information

Authors and Affiliations

  1. Department of Engineering, University of Trento, Trento, Italy

    Andrea Barbazza & Mario Fedrizzi

  2. School of Business, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan, Mario Fedrizzi & Pasi Luukka

Authors
  1. Andrea Barbazza
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  2. Mikael Collan
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  3. Mario Fedrizzi
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  4. Pasi Luukka
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Corresponding author

Correspondence to Andrea Barbazza .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Barbazza, A., Collan, M., Fedrizzi, M., Luukka, P. (2015). Consensus Modeling in Multiple Criteria Multi-expert Real Options-Based Valuation of Patents. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_25

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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