For existing path algorithms cannot achieve more continuous search, we propose the ASSA algorithms to let the travellers access to multiple points of interest in a trip. The ASSA algorithm has optimized the network structure, greatly reducing the amount of data access, and through temporal reasoning based on point of interest associated with regional to get the best travel route. The city POI data are classified based on the information and designed more than a point of interest rules under the access mechanism and its experimental verification. The results showed that: ASSA algorithm can improve computing performance by more than 16% and to avoid the emergence of non-optimal path compared to NS nearest algorithm and it can effectively meet the different points of interest rules under the access needs of travellers.
In order to improve the ability of fuzzy comprehensive evaluation of talents, this paper proposes a fuzzy comprehensive evaluation method which is the combination of qualitative and quantitative. Results show that the system can ensure the accuracy of the evaluation results, can meet the need of the fuzzy comprehensive personnel evaluation, and can provide technical support for related departments on talent evaluation rapidly and accurately.
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