single-jc.php

JACIII Vol.7 No.3 pp. 362-369
doi: 10.20965/jaciii.2003.p0362
(2003)

Paper:

Views over last 60 days: 327

Fuzzy Inference Methods Employing T-norm with Threshold and Their Implementation

Bui Cong Cuong*, Nguyen Hoang Phuong**, Ho Khanh Le*, Bui Truong Son***, and Koichi Yamada****

*Institute of Mathematics, National Center of Natural Science and Technology, 18 Hoang Quoc Viet Rd., 10307 Hanoi, Vietnam

**Institute of Information Technology, National Center of Natural Science and Technology, 18 Hoang Quoc Viet Rd., Cau Giay, Dist., Hanoi, Vietnam

***Post and Telecommunication Institute of Technology, 122 Hoang Quoc Viet Rd. Cau Giay Dist., Hanoi, Vietnam

****Dept. of Management and Information Systems Science, Nagaoka University of Technology, 1603-1, Kami-tomioka, Nagaoka, Niigata, 904-2188, Japan

Received:
June 30, 2003
Accepted:
August 26, 2003
Published:
October 20, 2003
Keywords:
fuzzy inference system, inference method, fuzzy rule, t-norm with threshold
Abstract

The fuzzy inference engine is an important part of reasoning systems. Among the many different types of inference, MATLAB is a powerful tool including many useful toolboxes, one of which is the Fuzzy Logic Toolbox. To improve toolbox capacity, we programmed and installed several new inference methods.

Cite this article as:
Bui Cong Cuong, Nguyen Hoang Phuong, Ho Khanh Le, Bui Truong Son, and Koichi Yamada, “Fuzzy Inference Methods Employing T-norm with Threshold and Their Implementation,” J. Adv. Comput. Intell. Intell. Inform., Vol.7, No.3, pp. 362-369, 2003.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jun. 15, 2021