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A system based on the concept of linguistic majority for the companies valuation

Author

Listed:
  • Jesus M. Dona

    (Department of Information Systems, Health Management Area North of Malaga, Antequera 29200, Spain)

  • Antonio M. Gil

    (Department of Languages and Computer Sciences, University of Malaga, Malaga 29071, Spain.)

  • David L. La Red

    (Department of Financial Economics and Accounting, Granada 18071, Spain.)

  • Jose I. Pelaez

    (Department of Computer Sciences, National Northeastern University,Corrientes 3400, Argentina.)

Abstract

Nowadays, it is common the use of qualitative information expressed by experts to solve the problems of economic-financial assessment in uncertainty environments. Two are the difficulties presented in this type of problems; the first one focuses on the information given by the expert, which can be represented in different domains of expression, and the second one is relative to the obtained final solution, which must be representative for most of the experts involved in the process. To solve the first problem, the information representation has been proposed by means of the fuzzy model of linguistic 2-tuples, which allows treating as an homogeneous form the information expressed by the experts in different domains. To solve the second problem, in this work it is proposed to make use of the concept of majority through the OWA operators.

Suggested Citation

  • Jesus M. Dona & Antonio M. Gil & David L. La Red & Jose I. Pelaez, 2011. "A system based on the concept of linguistic majority for the companies valuation," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 8(2), pages 121-142, Julio-Dic.
  • Handle: RePEc:qua:journl:v:8:y:2011:i:2:p:121-142
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    More about this item

    Keywords

    Companies valuation; linguistic 2-tuples; OWA Operators.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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