Information query system optimization design in the construction of computer professional

摘要

In the study of information query system optimization design in the construction of computer professional, with the current algorithms to process the optimal design for query system, the user is not familiar with what is allowed or not, or unable to enumerate all (not) allowed values of information, resulting in low query efficiency and large error. For this, an information query system optimization design method in the construction of computer professional based on improved fuzzy algorithm is proposed. The algorithm first analyze personalized development of query information through the perspective of computer information filtering, through similarity matching of user demand and information content to filter and information independent from user needs, fused with fuzzy algorithm, fuzzy set is utilized to build heterogeneous bipolar information query satisfaction model framework composed of an independent satisfaction and dissatisfaction. On this basis, information query system optimization design in the construction of computer professional is achieved. Simulation results show that the information query system optimization design method in the construction of computer professional based on improved fuzzy algorithm can effectively improve the accuracy and efficiency of query.