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New Aggregation Methods for Decision-Making in the Selection of Business Opportunities

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Scientific Methods for the Treatment of Uncertainty in Social Sciences

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

Abstract

We analyse decision-making process in the selection of business opportunities. A new mathematical application based on OWA operator and selection index is developed. We consider the use of the OWA distance (OWAD), the OWA adequacy coefficient (OWAAC) and the OWA index of maximum and minimum level OWAIMAM operators. The study proposes a fuzzy significance vector (FS), which can aggregate information according to the importance of its characteristics. The introduction of the selection OWA operator using fuzzy significance vector can reflect decision with different degrees of optimism through normalization process where the maximum value of the aggregated information can be higher than 1. These methods are called FS-OWAAC, FS-OWAD and FS-OWAIMAM operator. By using FS-OWA operator, we can parameterize attitudinal character of decisor and the importance of characteristics of the information. A numerical example is developed in decision-making process for the selection of opportunities to start a new business within different sectors according to preference of decisor and environmental factors.

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Authors and Affiliations

  1. Department of Business Administration, University of Barcelona, Av. Diagonal 690, 08034, Barcelona, Spain

    Fabio R. Blanco-Mesa & Anna M. Gil-Lafuente

  2. Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay, 257, 8330015, Santiago, Chile

    José M. Merigó

Authors
  1. Fabio R. Blanco-Mesa
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  2. Anna M. Gil-Lafuente
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  3. José M. Merigó
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Corresponding author

Correspondence to Fabio R. Blanco-Mesa .

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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Blanco-Mesa, F.R., Gil-Lafuente, A.M., Merigó, J.M. (2015). New Aggregation Methods for Decision-Making in the Selection of Business Opportunities. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-19704-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19703-6

  • Online ISBN: 978-3-319-19704-3

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