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In view of the various constraints faced by cultural tourism industry in the process of integrated development, fifteen risk factors affecting the integration of the cultural tourism industry are analyzed from five dimensions. Taking the cultural tourism industry in Hefei as the research object, this paper analyzes the centrality and cause degree of each risk factor with the DEMATEL method. Combined with the ISM method, it analyzes the structure of risk factors for the integration of Hefei's cultural tourism industry, then sorts it into the deep factors, intermediate factors and convergence factors. The results show that the centrality of market integration risk is the highest; technology convergence risk and organizational convergence risk are the two key underlying risks; product fusion risk is a conductive risk; insufficient market adhesion is the main risk outcome factor, and it is also a direct reflection of the cultural tourism industry integration risk. According to the analysis results, relevant suggestions were put forward to promote the further integration and development of cultural tourism industry in Hefei. [ABSTRACT FROM AUTHOR]

In the dynamic ensemble selection algorithm, the region of competence of the test sample was composed of fixed samples, which would affect the classifier selection. Therefore, the paper proposed the DES-DCR-CIER algorithm based on dynamic region of competence strategy. Firstly, this algorithm used the heterogeneous classifier to generate the base classifier pool to deal with the problem that the difference between the homogeneous ensemble classifiers was little and the number of heterogeneous ensemble classifiers was small. Next, it applied three steps including the mutual K nearest neighbor with adaptive distance algorithm, approaching the distance center of the sample set and removing the class edge samples to determine the dynamic region of competence of the test sample and it used overall complementarity index to select a set of classifiers. Finally, the classifiers were synthesized by the ER rule to get integration. Experiments on the diagnosis data of breast mass from 8 sonographers in a tertiary hospital in Hefei, Anhui Province and American Wisconsin Breast Cancer Diagnostic data set showed that the diagnostic model based on the DES-DCR-CIER algorithm had better accuracy. [ABSTRACT FROM AUTHOR]