Title :
Rough-Neuro-Fuzzy System with MICOG Defuzzification
Author_Institution :
Czestochowa Univ. of Technol., Czestochowa
Abstract :
This paper presents a new approach to fuzzy classification in case of missing information about object features. The rough set theory is incorporated into neuro-fuzzy structures and the rough-neuro-fuzzy classifier is derived. The architecture of the classifier is determined by the MICOG (modified indexed center of gravity) defuzzification method. Some illustrative examples are given.
Keywords :
feature extraction; fuzzy neural nets; fuzzy set theory; pattern classification; rough set theory; fuzzy information classification; modified indexed center of gravity defuzzification; object feature classification; rough set theory; rough-neuro-fuzzy system classifier; Argon; Bayesian methods; Decision theory; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Gravity; Probability; Rough sets; Set theory;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681972
