Abstract: Fuzzy C-regression models algorithm was proposed by Hathaway and Bezdek,which has the advantages of strong stability and good convergence effect comparing to the hard C-regression models algorithm.However,the algorithm also has the disadvantage of poor convergence speed.To solve this problem,the thought of membership suppression was introduced and an algorithm called suppressed fuzzy C-regression models(S-FCRM) algorithm was proposed.Experiments show that S-FCRM algorithm can speed up the convergence of the algorithm,and provide better convergence effect.However,S-FCRM algorithm also has the problem of inhibitory factor parameter selection.To solve this problem,the adaptive method of inhibitory factor selection was studied and an algorithm called adapting suppressed fuzzy C-regression (AS-FCRM) algorithm was proposed.Experiments show that AS-FCRM algorithm has good adaptive effect,faster convergence speed and better robustness.

Key words: Fuzzy clustering,Switching regression,Suppressed,Adapting