Evaluation of the potential of ecotourism development in Dena connty using Fuzzy quantifiers and decision-making scenarios of ANP-OWA algorithm

Document Type : Original Article

Authors

1 Ph.D. Student of Environmental Science, Faculty of Natural Resources and Environmental Science, Malayer University, Malayer, I.R. Iran.

2 Assistant Prof., Faculty of Natural Resources and Environmental Science, Malayer University, Malayer, I.R. Iran

3 Associate Prof., Research Institute of Environmental Sciences of Shahidbeheshti University.

4 Assistant Prof., Faculty of Agriculture and Natural Resources and Natural Resources and Environmental Research Institute, Yasouj University, Yasouj, I.R. Iran.

Abstract

Abstract
Ecotourism is the most sustainable form of tourism, so today it is described as one of the important development criteria. In this research, after preparation maps of 17 ecotourism index including altitude, vegetation density, vegetation type, land use and land cover, gradient (in terms of tourist attraction), geographic orientation, slope (in terms of domain stability) Sensitivity to erosion, landslide sensitivity, earthquake sensitivity, distance from the road, distance from the river, distance from the spring and well, distance from the village, distance from the city, distance from attraction Natural tourism and distance from holy places, map of the potential areas of ecotourism development in Dena county in northern Kohgiluyeh and Boyer Ahmad province with an area of over 1575 square kilometers was prepared using fuzzy quantifiers and different decision making scenarios under the OWA algorithm. According to the  analytical network process, the landslide susceptibility index and geographic direction had the highest and the least relative importance regarding identifying ecotourism development areas among the indicators studied. The suitable areas for the development of ecotourism in the county of Dena from the total area of the region in the highly optimistic decision-making scenario to there is no suitable area in the highly pessimistic decision-making scenario. In highly optimistic decision-making scenario, if at least one of the indices in the region is recognized as suitable for ecotourism, then that area in the final compilation map is considered suitable for the ecotourism. In the highly pessimistic decision-making scenario, all indices in the region should be is recognized as suitable for ecotourism, so that the area in the final compilation map is suitable for ecotourism.

Keywords

References

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Geography (Regional Planning)
Volume 8, Issue 33
March 2018
Pages 381-401

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