KNN- Based Density Estimation of Fuzzy Number

In this paper, a new method is presentedfor density estimation of fuzzy number. The proposedapproach is based on K-nearest neighbour method thatis one of the most popular algorithms in artificialintelligence. This viewpoint in the density estimation offuzzy number is a type of data oriented method. Inpresented work we use K-NN over fuzzy number withsome distance metrics for fuzzy numbers likeHausdorff, Hathway and Yang distance. Experimentalresults show that our method has good results indensity estimation even presence of noise

کلیدواژه ها:

K-nearest neighbour ، Fuzzy number ، Density estimation ، Artificial intelligence