Paper Title:
Research on Four Type-2 Fuzzy Reasoning Models
  Abstract

The previous discussion about type-2 fuzzy reasoning mechanisms just paid attentions to Mamdani models based on Mamdani implication operator. There is no doubt that the operator is justifiable, since such an operator possesses characteristic clipping effect, i.e. limiting the consequence membership function with the truth value of the antecedent. However, Mamdani implication operator does not uphold classical logic, i.e. it is in no agreement with the classic binary interpretation of implication. All of the Kleene-Dienes operator, Lukasiewicz operator, Zadeh operator and Reichenbach operator, which derive from equivalencies of the classic binary implication, have in common the feature of generalizing classic logic. This paper investigates type-2 fuzzy reasoning models and algorithms based on these four implication operators, respectively. In the view upholding classical logic, proposed models and algorithms seem to be more natural than of the Mamdani type.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
406-411
DOI
10.4028/www.scientific.net/AMR.204-210.406
Citation
Y. J. Zhang, N. X. Chen, P. Yan, "Research on Four Type-2 Fuzzy Reasoning Models", Advanced Materials Research, Vols. 204-210, pp. 406-411, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Nemat Changizi, Mahbubeh Moghadas, Mohamad Reza Dastranj, Mohsen Farshad
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Abstract:In this paper, an intelligent speed controller for DC motor is designed by combination of the fuzzy logic and genetic algorithms. First, the...
2324
Authors: Jiang Hua Sui, Qiang Ma
Chapter 8: Biomedical Manufacturing
Abstract:The novel multilayer feed-forward AND-OR fuzzy neural network (AND-OR FNN) is proposed in this paper. The main feature is shown not only in...
846
Authors: Chang Zheng Li, Yong Lei
Chapter 5: Control Science
Abstract:In this paper, a fuzzy controller of hydraulic dynamometer water supply pressure was realized by Mamdani fuzzy inference system. The schema...
622
Authors: Zhen Dong Wang, Hui Qiang Wang, Guang Sheng Feng, Xiao Ming Chen, Qiang Zhu
Chapter 2: Mechatronics
Abstract:At present, lots of work focus on spectrum allocation of wireless networks, and pay little attention about optimization network access. In...
231
Authors: Xu Dong Song, Wei Shao, Zhan Zhi Qiu, Yan Xia Chen
Chapter 3: Detection, Monitoring and Image Processing Technologies, Information Technologies, Control and MEMS
Abstract:In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by...
639