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Mathematical Modelling with Fuzzy Sets of Sustainable Tourism Development

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  • Nenad Stojanoviæ

    () (Faculty of Agriculture, University of Banja Luka)

Abstract

In the first part of the study we introduce fuzzy sets that correspond to comparative indicators for measuring sustainable development of tourism. In the second part of the study it is shown, on the base of model created, how one can determine the value of sustainable tourism development in protected areas based on the following established groups of indicators: to assess the economic status, to assess the impact of tourism on the social component, to assess the impact of tourism on cultural identity, to assess the environmental conditions and indicators as well as to assess tourist satisfaction, all using fuzzy logic. It is also shown how to test the confidence in the rules by which, according to experts, appropriate decisions can be created in order to protect biodiversity of protected areas.

Suggested Citation

  • Nenad Stojanoviæ, 2011. "Mathematical Modelling with Fuzzy Sets of Sustainable Tourism Development," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 9(2), pages 134-160.
  • Handle: RePEc:zna:indecs:v:9:y:2011:i:2:p:134-160
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    More about this item

    Keywords

    mathematical modelling; sustainable tourism development; protected areas; fuzzy logic; comparative indicators;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other

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