Fuzzy Pattern Recognition of Marine Carbonatite Facies

On the basis of fuzzy pattern recognition, a practical method of recognition of marine carbonatite fades is presented in this paper. The standard pattern can be constructed in the situation of cluster analysis and known samples. The cluster centre is obtained by the F-PFS method or the characteristic vector. Besides of the using of cluster analysis, the recognition of unknown sample mainly uses the calculation of similarity degree and the recogition is according to the nearest neighbour criterion. Then, a new similarity degree of complement distance with the different weights is presented in the paper. That is S(X_i, Y_j)=^s_A-1 Σ W_k(1-D_ijk)^p (2) k - I Where the weight Wk is determained by the technique which is presented by the authors and is according to the rate of right judgement of the single factor. Four facies can be identified by using fuzzy cluster analysis, other samples can be recognized by using the fuzzy recognition method. The percent of right judgment is 81.8%. Six standard patterns were built based on the known facies samples of Shouzi Section. Both the samples of Jingshan Section and the rest samples of Shouzi Section were recognized with this model, the percent of right judgment is 79.2%. The results of fuzzy recognition show that fuzzy cluster analysis and similarity degree are a kind of new effective method for the classification of carbonatite facies. Furthermore, cluster centres based on the fuzzy cluster or known facies samples could become the basis of later fuzzy recognition marine carbonatite facies.