Defuzzification Methods in Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type The case of corporate bankruptcy prediction

摘要：

　　Recently,an intuitionistic fuzzy inference system(IFIS)of Takagi-Sugeno type has been proposed.Previous results have shown that by adding non-membership functions,the average errors may be significantly decreased compared with FISs.In this paper,we design defuzzification methods for this class of systems.The methods are based on weighted average and weighted sum of the consequents of rules in IFIS.The empirical comparison of the methods is carried out on a dataset for corporate bankruptcy prediction.

关键词： intuitionistic fuzzy sets intuitionistic fuzzy inference systems of Takagi-Sugeno type defuzzification bankruptcy prediction

作者: Petr Hajek Vladimír Olej

作者单位: Institute of System Engineering and Informatics Faculty of Economics and Administration,University of Pardubice 532 10 Pardubice,Czech Republic

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 240-244

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）