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Decision Making with Fuzzy Moving Averages and OWA Operators

  • Conference paper
Book cover Modeling and Simulation in Engineering, Economics, and Management (MS 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 145))

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Abstract

A new framework for multi-period decision making is presented. It deals with moving averages and the ordered weighted average (OWA) in an imprecise environment that can be assessed with fuzzy numbers. Several new aggregation operators are presented including the fuzzy ordered weighted moving average (FOWMA) and the fuzzy ordered weighted averaging weighted moving average (FOWAWMA). Their main advantage is that they can provide a parameterized family of aggregation operators between the minimum and the maximum in a dynamic environment assessed with the moving average and fuzzy numbers. An application of the new approach is presented in national multi-period decision making problems concerning the fixation of the main interest rate of a country.

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Author information

Authors and Affiliations

  1. Manchester Business School, University of Manchester, Booth Street West, M15 6PB, Manchester, UK

    José M. Merigó, Jian-Bo Yang & Dong-Ling Xu

Authors
  1. José M. Merigó
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  2. Jian-Bo Yang
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  3. Dong-Ling Xu
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Editor information

Editors and Affiliations

  1. Department of Finance and Accounting, University Jaume I, Castelló de la Plana, Spain

    María Ángeles Fernández-Izquierdo  & María Jesús Muñoz-Torres  & 

  2. Department of Business Administration and Marketing, University Jaume I, Castellón de la Plana, Spain

    Raúl León

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Merigó, J.M., Yang, JB., Xu, DL. (2013). Decision Making with Fuzzy Moving Averages and OWA Operators. In: Fernández-Izquierdo, M.Á., Muñoz-Torres, M.J., León, R. (eds) Modeling and Simulation in Engineering, Economics, and Management. MS 2013. Lecture Notes in Business Information Processing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38279-6_23

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  • DOI: https://doi.org/10.1007/978-3-642-38279-6_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38278-9

  • Online ISBN: 978-3-642-38279-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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