WEIGHTED FUZZY INTERPOLATIVE REASONING BASED ON INTERVAL TYPE-2 FUZZY SETS

摘要：

In this paper, we present a weighted fuzzy interpolate reasoning method for sparse fuzzy rule-based system based on interval type-2 fuzzy sets. Based on the ranking values of interval type-2 fuzzy sets, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. We also use an example to illustrate the proposed weighted fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. The proposed method provides us a useful way to deal with weighted fuzzy interpolative reasoning based on the ranking values of interval type-2 fuzzy sets.

关键词： Fuzzy interpolative reasoning Interval type-2 fuzzy sets Ranking values Weighted fuzzy interpolative reasoning

作者: LI-WEI LEE SHYI-MING CHEN

作者单位: Department of Computer Science and Information Engineering, National Taiwan University of Science an Department of Computer Science and Information Engineering, National Taiwan University of Science an

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3379-3384

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）