Regional tourism competitiveness evaluation method based on fuzzy analytic hierarchy process

Yan Zhou

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 1291-1297

Business Administration College, Nanchang Institute of Technology, Jiangxi Nanchang, China

To promote the regional tourism competitiveness capability, regional tourism competitiveness should be evaluated objectively and accurately, and then provide useful suggestions to support government decision making. Therefore, in this paper, we focus on the problem of regional tourism competitiveness evaluation using fuzzy analytic hierarchy process. In order to enhance the performance of standard AHP, we exploit the fuzzy theory and then make the comparative judgments through trapezoid fuzzy numbers. Seven types of quantitative factors are used in our evaluation model, such as “Essential factors of tourism competitiveness”, “Tourism enterprises competitiveness”, “Tourism market competitiveness”, “Tourism basic industry competitiveness”, “Tourism Supporting industry competitiveness”, “Government competitiveness”, and “Others”. Furthermore, trapezoid membership functions are defined for each quantitative factor, and then the level of the regional tourism competitiveness evaluation can be obtained by computing the highest membership utilizing the membership matrix. To demonstrate the effectiveness of our proposed, we collect related data from ten different regions of China using the Statistical yearbook to make dataset. Then, experiments are conducted to make performance evaluation compared with AHP and Fuzzy DEA. Experimental results testify that our proposed fuzzy AHP based method performs better than others.