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Ecotourism development in a forest area includes many positive and negative aspects and requires a comprehensive study that can consider all simultaneously. Because of the inner and outer dependence or feedback links between the criteria in this research, the Analytical Network Process (ANP) based on the BOCR Model was used. Decision making and planning for the development of ecotourism is influenced by the attitude of experts towards development impacts. The question of this research was whether due to different environmental conditions in Iran, is it appropriate to follow ecotourism development patterns of developed countries? Given the different forest conditions in Iran, the weights of decision-making criteria for ecotourism development was significantly different for experts from Iran and developed countries. Weight difference for five sub-criteria, ECB2, ECB3, SOB4, ENC4 and, ENR2 were not significant, but for the rest of the sub-criteria were significant at 1% level. The results of comparing the mean weight values of the alternatives with an independent t-test indicated the difference was significant at 1% level. According to experts of the developed countries, ecotourism development with a weight of 0.927 and according to experts of Iran with a weight of 0.531 was prioritized. 相似文献
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This study investigates the key development evaluation indicators of the TV game console industry based on the four dimensions of Saaty's ‘benefits, opportunity, costs, and risks’ model. The hybrid multiple attribute decision-making model is employed to create a new evaluation approach. The proposed hybrid model uses the decision-making trial and evaluation laboratory (DEMATEL) to determine the influential relationships among dimensions and criteria, the DEMATEL-based analytic network process to obtain influential weights, and the modified VlšeKriterijumska Optimizacija I Kompromisno Resenje method to assess performance gaps in industry development. The influential network relationship map and influence weights help TV game console firms' managers understand the industry's complex assessment system and set priorities for improving the industry's performance. The results of the study indicate that the improvement priorities of the model's dimensions have the following order: benefits, opportunity, costs, and risks. Several implications for the industry's management are also discussed. 相似文献
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