TY - JOUR
T1 - Multicriteria fuzzy classification procedure PROCFTN
T2 - Methodology and medical application
AU - Belacel, Nabil
AU - Boulassel, Mohamed Rachid
PY - 2004/1/16
Y1 - 2004/1/16
N2 - In this paper, we introduce a new classification procedure for assigning objects to predefined classes, named PROCFTN. This procedure is based on a fuzzy scoring function for choosing a subset of prototypes, which represent the closest resemblance with an object to be assigned. It then applies the majority-voting rule to assign an object to a class. We also present a medical application of this procedure as an aid to assist the diagnosis of central nervous system tumours. The results are compared with those obtained by other classification methods, reported on the same data set, including decision tree, production rules, neural network, k nearest neighbor, multilayer perceptron and logistic regression. Our results are very encouraging and show that the multicriteria decision analysis approach can be successfully used to help medical diagnosis. Crown
AB - In this paper, we introduce a new classification procedure for assigning objects to predefined classes, named PROCFTN. This procedure is based on a fuzzy scoring function for choosing a subset of prototypes, which represent the closest resemblance with an object to be assigned. It then applies the majority-voting rule to assign an object to a class. We also present a medical application of this procedure as an aid to assist the diagnosis of central nervous system tumours. The results are compared with those obtained by other classification methods, reported on the same data set, including decision tree, production rules, neural network, k nearest neighbor, multilayer perceptron and logistic regression. Our results are very encouraging and show that the multicriteria decision analysis approach can be successfully used to help medical diagnosis. Crown
KW - Astrocytic tumour
KW - Classification
KW - Fuzzy binary relations
KW - Fuzzy sets
KW - Medical diagnosis
KW - Multicriteria decision aid
KW - Scoring function
UR - http://www.scopus.com/inward/record.url?scp=0346778554&partnerID=8YFLogxK
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U2 - 10.1016/S0165-0114(03)00022-8
DO - 10.1016/S0165-0114(03)00022-8
M3 - Article
AN - SCOPUS:0346778554
SN - 0165-0114
VL - 141
SP - 203
EP - 217
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 2
ER -