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Review of Existing Approaches in Integration of Classiﬁcation
New Type 3 Approaches
Experiment and Major Results
3 other sections not shown
_alpha _area _Class_3_alpha _Class_3_temp[i _momem _SP_Class_0_alpha _UBY_b_ploop _UBY_b_ploop ST_class[2 abstract level algorithms Allocating Memory approach axiom Borda Count character class character recognition Class 0 ﬁred.\n Class 9 class[k combination conﬁdence interval conﬁdence value conﬂict DEBUG fprintf Dempster-Shafer detection line feature set feature space Figure ﬁnal ﬁred ﬁrst FLOAT fopen FUBYTE _S Fumiaki Yamaoka function.\n fuzzy function Fuzzy Fusion fuzzy logic fuzzy proposition fuzzy sets fuzzy theory heuristic knowledge High on Class if(_alpha individual classiﬁers input Low on Class malloc max_index measurement level MEMBER HlGH MEMBER LOW membership functions Memory allocation failure Memory allocation failure.\n memset method Multiple Classiﬁer NN Low NULL NUMBER_OF_CLASSES output pattem classes rank level rank list recognition rate Rejection result Rule NN High Rule SP Low sizeof sizeof(ﬂoat ST High ST_class[3 ST_conﬁdence_level ST_inﬂuence ST_threshold_function static FUBYTE static struct _UBY_b_point stderr stdout threshold training set True Class UBYTE User deﬁned objects