Application of Fuzzy Equivalence Relation Kernel Clustering Algorithm to Car Evaluation

Abstract

In this paper, the fuzzy equivalent relation kernel is constructed and represented via fuzzy information, and applied to car evaluation based on the kernel clustering algorithm. First, the fuzzy equivalent relation kernel clustering algorithm is introduced. Second, the fuzzy information in car evaluation problem is used to determine the membership functions to represent the fuzzy equivalent relation kernel. Finally, the clustering algorithm based on the fuzzy equivalent relation kernel is applied to the car evaluation. Numerical results indicate the validation of the proposed algorithm.