This paper proposes a cost-based fuzzy classification system for pattern classification problems with an order class importance. The task here is to minimize the misclassification of patterns from an important class. It is assumed in this paper that the classification importance is given for each class, not for each pattern. Another assumtion in this paper is that only the order of importance is given for given classes without any numerical measures of importance. We show the performance of the proposed cost-based fuzzy classification system for a real-world pattern classification problem.
|Title of host publication||Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07|
|Number of pages||4|
|Publication status||Published - 1 Dec 2007|
|Event||12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, United Kingdom|
Duration: 25 Jan 2007 → 27 Jan 2007
|Conference||12th International Symposium on Artificial Life and Robotics, AROB 12th'07|
|Period||25/01/07 → 27/01/07|