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Some Experiences Applying Fuzzy Logic to Economics

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Soft Computing in Humanities and Social Sciences

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 273))

Abstract

Economy becomes a field of special interest for the application of fuzzy logic. Here we present some works carried out in this direction, highlighting their advantages and also some of the difficulties encountered. Fuzzy inference systems are very useful for Economic Modelling. The use of a rule system defines the underlying economic theory, and allows extracting inferences and predictions. We applied them to modelling and prediction of waged-earning employment in Spain, with Jang’s algorithm (ANFIS) for the period 1977-1998.

As additional experiences in this direction, we have applied the IFN algorithm (Info-Fuzzy- Network) developed by Maimon and Last to the study of the profit value of the Andalusian agrarian industry.

The search for key sectors in an economy has been and still is one of the more recurrent themes in Input-Output analysis, a relevant research area in the economic analysis. We proposed a multidimensional approach to classify the productive sectors of the Spanish Input- Output table. We subsequently analyzed the problems that can arise in key sector analysis and industrial clustering, due to the usual presence of outliers when using multidimensional data.

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Author information

Authors and Affiliations

  1. Statistics and Econometrics Department, University of Malaga, Malaga, Spain

    Bárbara Díaz

  2. Applied Economics (Statistics and econometrics) Department, University of Malaga, Malaga, Spain

    Antonio Morillas

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  1. Bárbara Díaz
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  2. Antonio Morillas
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  1. C/ Carlos Asensio Bretones 5 -- 8F, Oviedo, 33009, Spain

    Rudolf Seising

  2. Soto del Barco 2, 6°C. Esc.B, Oviedo, 33012, Spain

    Veronica Sanz González

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Díaz, B., Morillas, A. (2012). Some Experiences Applying Fuzzy Logic to Economics. In: Seising, R., Sanz González, V. (eds) Soft Computing in Humanities and Social Sciences. Studies in Fuzziness and Soft Computing, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24672-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-24672-2_19

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