Some properties of fuzzy logic with similarity

Author

Wang, Jia-Bing ; Wang, Wei-Qing ; Xu, Zheng-Quan ; Wang, Neng-Chao

Author_Institution

Sch. of Comput. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

3

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

1511

Abstract

Fuzzy sets and fuzzy logic is an important and a practical mathematical tool for the processing of uncertain and vague information. In our earlier work, a fuzzy logic with similarity was proposed and the soundness and completeness were proved (Jiabing Wang et al. 2002). In this paper, some properties of fuzzy inference based on the resolution principle and paramodulation are discussed: first, the significance of fuzzy logical inference by the resolution principle is discussed in the context of fuzzy first-order logic; second, it is shown that the fuzzy logical inference by the paramodulation is always significant; finally, the relation between a resolvent or paramodulant and ambiguity is discussed.

Keywords

fuzzy logic; fuzzy set theory; inference mechanisms; uncertainty handling; approximate reasoning; fuzzy inference; fuzzy logic; fuzzy sets; paramodulation; resolution principle; similarity relation; uncertain information; vague information; Artificial intelligence; Computer science; Computer science education; Cybernetics; Educational technology; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Terminology; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259734

Filename

1259734