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Evaluation of agriculture and industry effect on economic health by ANFIS approach

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  • Đokić, Aleksandar
  • Jović, Srđan

Abstract

Economic development could be influenced due to many factors. For example agriculture and industry sectors could have significant impact on the economic growth and health. Gross domestic product (GDP) is used as an indicator of the economic health. Since the economic health and growth analyzing is very challenging task with commonly redundant data, in this investigation the economic growth was analyzed by ANFIS (adaptive neuro fuzzy inference system) methodology based on the agriculture and industry added value in GDP. The main goal was to analyze the influence of the industry and agriculture on the GDP, industry or agriculture. Results shown that the agriculture sector has higher influence than industry sector on the GDP health and growth.

Suggested Citation

  • Đokić, Aleksandar & Jović, Srđan, 2017. "Evaluation of agriculture and industry effect on economic health by ANFIS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 396-399.
    • Handle: RePEc:eee:phsmap:v:479:y:2017:i:c:p:396-399
    DOI: 10.1016/j.physa.2017.03.022
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    References listed on IDEAS

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    Cited by:

    1. Halit Yanikkaya & Mehmet Halis Saka & Hasan Karaboga, 2019. "On the Geographical Determinants of Bilateral Trade: ANFIS Approach," Working Papers 2019-01, Gebze Technical University, Department of Economics.
    2. Cristinel CONSTANTIN, 2017. "Coordinates of Service Industry in European Union. A Marketing Perspective," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 119-124.

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