An improved ant algorithm for fuzzy data mining
作者： Min-Thai Wu , Tzung-Pei Hong , Chung-Nan Lee
DOI: 10.1007/978-3-642-16732-4_37
关键词: Membership function 、 Ant colony 、 Fuzzy set operations 、 Defuzzification 、 Algorithm 、 Computer science 、 Fuzzy logic 、 Fuzzy classification 、 Fuzzy number 、 Data mining 、 Fuzzy set
摘要: In the past, two mining algorithms were proposed to find suitable membership functions for fuzzy association rules based on ant colony systems. approaches, coding of possible solutions is by binary strings, which form a discrete solution space. The paper extends original approaches continuous search space, and algorithm improved approach proposed. doesn't have fixed paths nodes produces some in dynamic way according distribution pheromones. experimental results show that process gets better than previous algorithms.
springer.com
sci-hub.st 参考文章(19)
Abraham Kandel, Fuzzy Expert Systems ,(1991)
Heitor S. Lopes, Alex A. Freitas, Rafael S. Parpinelli, An ant colony based system for data mining: applications to medical data genetic and evolutionary computation conference. pp. 791- 797 ,(2001)
Alberto Colorni, Marco Trubian, Vittorio Maniezzo, Marco Dorigo, Ant system for Job-shop Scheduling Belgian journal of operations research, statistics and computer science. ,vol. 34, pp. 39- 53 ,(1994)
Thomas Stützle, Holger H. Hoos, – Ant System Future Generation Computer Systems. ,vol. 16, pp. 889- 914 ,(2000) , 10.1016/S0167-739X(00)00043-1
Yi-Chung Hu, Finding useful fuzzy concepts for pattern classification using genetic algorithm Information Sciences. ,vol. 175, pp. 1- 19 ,(2005) , 10.1016/J.INS.2004.10.002
Miguel Delgado, Carlos Javier Mantas, Claudio Moraga, A fuzzy rule based backpropagation method for training binary multilayer perceptrons Information Sciences. ,vol. 113, pp. 1- 17 ,(1999) , 10.1016/S0020-0255(98)10034-8
M. Kaya, R. Alhajj, Genetic algorithm based framework for mining fuzzy association rules Fuzzy Sets and Systems. ,vol. 152, pp. 587- 601 ,(2005) , 10.1016/J.FSS.2004.09.014
TZUNG-PEI HONG, CHAN-SHENG KUO, SHENG-CHAI CHI, TRADE-OFF BETWEEN COMPUTATION TIME AND NUMBER OF RULES FOR FUZZY MINING FROM QUANTITATIVE DATA International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. ,vol. 9, pp. 587- 604 ,(2001) , 10.1142/S0218488501001071
Tzung-Pei Hong, Ya-Fang Tung, Shyue-Liang Wang, Min-Thai Wu, Yu-Lung Wu, An ACS-based framework for fuzzy data mining Expert Systems with Applications. ,vol. 36, pp. 11844- 11852 ,(2009) , 10.1016/J.ESWA.2009.04.016
M. Dorigo, V. Maniezzo, A. Colorni, Ant system: optimization by a colony of cooperating agents systems man and cybernetics. ,vol. 26, pp. 29- 41 ,(1996) , 10.1109/3477.484436