In this paper we propose a fuzzy rule-generation method for pattern classification problems with classification priority. The assumption in this paper is that a classification priority is given a priori in relation to other classes. Our fuzzy rule-based classification system consists of a set of fuzzy ifthen rules that are automatically generated from a set of given training patterns. The proposed method decides the consequent class of fuzzy if-then rules based on the number of covered training patterns for each class. In computational experiments we first show the effect of introducing classification priority for a synthetic two-dimensional problem. Then we show the effectiveness of the proposed method for several real-world pattern classification problems.
|Title of host publication||IEEE International Conference on Fuzzy Systems|
|ISBN (Print)||1424412102, 9781424412105|
|Publication status||Published - 1 Dec 2007|
|Event||2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom|
Duration: 23 Jul 2007 → 26 Jul 2007
|Conference||2007 IEEE International Conference on Fuzzy Systems, FUZZY|
|Period||23/07/07 → 26/07/07|