Reject Options in Fuzzy Pattern Classification Rules
نویسندگان
چکیده
A pattern to be classified is an object described by d feature values, i.e. a d-dimensional vector x= (x1 x2 ... xd) . Conventional pattern classification aims at associating each pattern to one of c predefined classes {ω1, ω2, ..., ωc} assumed to be representative of particular objects available from a learning set Ω = {x1,x1, ...xn}. The classification is carried out on the base of class labels μi = μi(x) (i = 1, c). Hence, the classification problem consists, for each pattern x in :
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تاریخ انتشار 2007