Privacy for Information Sharing in Distributed Data Mining Using Fuzzy Optimization
نویسندگان
چکیده
This paper proposed a information sharing technique maintaining privacy preservation in distributed data mining. The theoretical principles proposed to develop information sharing technique to find the best choice of objective for goal of the game with distributed manner. The multi-objective evaluation method among the parties data based on best and worst solution has implemented at center of the distributed data mining. The ranking model proposed to make the algorithm using intended degree of intutionistic fuzzy sets which have to be defined the party’s information as intutionistic fuzzy sets and find best choice of objective by ranking index. The fuzzy optimization method based on the intended degree of intutionistic fuzzy sets has solved multiobjective problem under fuzzy environments. The privacy techniques have been used for each party based on fuzzy environment in this paper. In addition, our solution brings the complete implementation with effectiveness of the proposed method practically.
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