On the Application of Preaggregation Functions to Fuzzy Pattern Tree

Su，Pan1,2; Chen，Tianhua3; Mao，Haoyu1; Xie，Jianyang1; Zhao，Yitian1; Liu，Jiang1,4

10.1109/FUZZ-IEEE.2019.8858922

2019-06-01

1098-7584

978-1-5386-1729-8

IEEE International Conference on Fuzzy Systems

2019-June

1-6

23-26 June 2019

New Orleans, LA, United states

Institute of Electrical and Electronics Engineers Inc.

Building transparent knowledge-based systems in the form of accurate and interpretable fuzzy rules is one of the significant applications of fuzzy set theory. The fuzzy connectives, i.e., T -norm/conorm, play the role of connecting fuzzy sets, which are essentially linguistic terms extracted from the knowledge embedded in a given data set. Fuzzy pattern tree is a recently proposed novel machine learning technique, which grows a hierarchical binary tree for each known class utilising conventional T -norms/conorms and aggregation operators. Preaggregation functions are recently proposed in the literature as a type of generalised aggregation functions, which have achieved successes in a number of applications. This paper proposes a preaggregation-based approach with application to the construction of fuzzy pattern tree. An experimental study is done to explore the performance of the fuzzy pattern tree where preaggregation functions are employed in comparison to that where conventional aggregation operators are utilised. Experimental results demonstrate that the performance of fuzzy pattern tree incorporated with the preaggregation function generated by Nilpotent minimum T -norm outperforms those with alternative preaggregation functions and the commonly used ordered weighted averaging operators.

aggregation fuzzy pattern tree knowledge base preaggregation triangular norm

其他

英语

EI

20194307586062

Agglomeration ; Binary trees ; Fuzzy inference ; Fuzzy logic ; Fuzzy sets ; Knowledge based systems ; Learning systems ; Linguistics ; Mathematical operators

Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Expert Systems:723.4.1 ; Chemical Operations:802.3 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4

2-s2.0-85073769724

Scopus

1.Cixi Institute of Biomedical EngineeringChinese Academy of Sciences,China
2.Department of Computer ScienceUniversity of Huddersfield,United Kingdom
3.Department of Computer Science and EngineeringSouthern University of Science and Technology,China
4.Department of Computer Science and Eng.Southern University of Science and Technology,China

Su，Pan,Chen，Tianhua,Mao，Haoyu,et al. On the Application of Preaggregation Functions to Fuzzy Pattern Tree[C]:Institute of Electrical and Electronics Engineers Inc.,2019:1-6.