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International Conference on Flexible Query Answering Systems

FQAS 2017: Flexible Query Answering Systems pp 215–225Cite as

Application of Topological Operators over Data from InterCriteria Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10333))

Abstract

In this paper, two topological operators T and U over intuitionistic fuzzy sets are considered and applied. As a case study a parameter identification problem of E. coli fed-batch cultivation process model using genetic algorithms is investigated. A new result regarding T and U is established. The results obtained by the application of the topological operators over data processed by InterCriteria Analysis are discussed.

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Acknowledgment

The work is partially supported by the Bulgarian National Scientific Fund under the grant DFNI-I02/5 “InterCriteria Analysis. A New Approach to Decision Making”.

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Authors and Affiliations

  1. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Science, Sofia, Bulgaria

    Olympia Roeva & Peter Vassilev

  2. Department of Computer Science, Faculty of Science and Technology (FST), University of Westminster, 115 New Cavendish Street, London, W1W 6UW, UK

    Panagiotis Chountas

Authors
  1. Olympia Roeva
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  2. Peter Vassilev
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  3. Panagiotis Chountas
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Corresponding author

Correspondence to Olympia Roeva .

Editor information

Editors and Affiliations

  1. Roskilde University, Roskilde, Denmark

    Henning Christiansen

  2. ENSSAT-IRISA, Lannion Cedex, France

    Hélène Jaudoin

  3. University of Westminster, London, United Kingdom

    Panagiotis Chountas

  4. Roskilde University, Roskilde, Denmark

    Troels Andreasen

  5. Aalborg University, Esbjerg, Denmark

    Henrik Legind Larsen

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Roeva, O., Vassilev, P., Chountas, P. (2017). Application of Topological Operators over Data from InterCriteria Analysis. In: Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2017. Lecture Notes in Computer Science(), vol 10333. Springer, Cham. https://doi.org/10.1007/978-3-319-59692-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-59692-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59691-4

  • Online ISBN: 978-3-319-59692-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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