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International Conference on Modeling and Simulation in Engineering, Economics and Management

MS 2012: Modeling and Simulation in Engineering, Economics and Management pp 98–113Cite as

A Method for Uncertain Sales Forecast by Using Triangular Fuzzy Numbers

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 115))

Abstract

This work provides a tool to assess, from sales forecasts obtained by experts, the degree to which the sales forecast of a company is a specific value. It proposes different possibilities of triangular fuzzy number assignment whose vertices are obtained by aggregation functions that act on experts’ forecast sales. The method offers too the option that the entrepreneurs or business owners remove or mitigate extreme values based in his personal opinion, thus enabling them to provide knowledge of the company not known to experts. With the possibility of allowing the entrepreneurs or business owners to incorporate or not extreme values, it opens the way to allow them to finally decide the characteristic function of the sales forecast, making the prediction an absolutely personal estimate.

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Author information

Authors and Affiliations

  1. Department of Business Administration, University of Girona, Campus de Montilivi s/n, 71017, Girona, Spain

    Salvador Linares-Mustarós & Joan Carles Ferrer-Comalat

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

    José M. Merigó

Authors
  1. Salvador Linares-Mustarós
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  2. José M. Merigó
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  3. Joan Carles Ferrer-Comalat
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Editor information

Editors and Affiliations

  1. Hagan School of Business, Iona College, New Rochelle, NY, USA

    Kurt J. Engemann

  2. Department of Business Administration, University of Barcelona, Barcelona, Spain

    Anna M. Gil-Lafuente  & José M. Merigó  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Linares-Mustarós, S., Merigó, J.M., Ferrer-Comalat, J.C. (2012). A Method for Uncertain Sales Forecast by Using Triangular Fuzzy Numbers. In: Engemann, K.J., Gil-Lafuente, A.M., Merigó, J.M. (eds) Modeling and Simulation in Engineering, Economics and Management. MS 2012. Lecture Notes in Business Information Processing, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30433-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-30433-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30432-3

  • Online ISBN: 978-3-642-30433-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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