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Scientific Methods for the Treatment of Uncertainty in Social Sciences pp 195–204Cite as

A Qualitative Study to Strong Allee Effect with Fuzzy Parameters

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 377))

Abstract

The Allee effect is related to those aspects of dynamical of populations Connected with a decreasing in individual fitness when the population size diminishes to very low levels. In this work we propose a fuzzy approach to Allee effect that permits to deal with uncertainty. This fuzzy proposal is considering the Allee effect with fuzzy parameters from two points of view.

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Authors and Affiliations

  1. Departament D’Empresa, Departament D’Informàtica I Matemàtica Aplicada, Universitat de Girona, Campus de Montilivi S/N, 17071, Girona, Spain

    Xavier Bertran, Dolors Corominas & Narcis Clara

Authors
  1. Xavier Bertran
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  2. Dolors Corominas
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  3. Narcis Clara
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Corresponding author

Correspondence to Xavier Bertran .

Editor information

Editors and Affiliations

  1. Royal Academy of Economic and Financial Sciences (RACEF), Barcelona, Spain

    Jaime Gil-Aluja

  2. Department of Business Management, Universitat Rovira i Virgili Faculty of Business and Economics, Reus, Spain

    Antonio Terceño-Gómez

  3. Department of Business Administration, University of Girona, Girona, Spain

    Joan Carles Ferrer-Comalat

  4. Department of Management Control and Information Systems, University of Chile, Santiago, Chile

    José M. Merigó-Lindahl

  5. Department of Business Administration, University of Girona, Girona, Spain

    Salvador Linares-Mustarós

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Bertran, X., Corominas, D., Clara, N. (2015). A Qualitative Study to Strong Allee Effect with Fuzzy Parameters. In: Gil-Aluja, J., Terceño-Gómez, A., Ferrer-Comalat, J., Merigó-Lindahl, J., Linares-Mustarós, S. (eds) Scientific Methods for the Treatment of Uncertainty in Social Sciences. Advances in Intelligent Systems and Computing, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-319-19704-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-19704-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19703-6

  • Online ISBN: 978-3-319-19704-3

  • eBook Packages: EngineeringEngineering (R0)

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