Universal Triple I Method for Fuzzy Reasoning and Fuzzy Controller

Authors

  • Fuji Ren Institute of Technology and Science, The University of Tokushima, Minami Josanjima, Tokushima, 770-8506, Japan
  • Yiming Tang Information and Communication Engineering Postdoctoral Research Station, School of Computer and Information, Hefei University of Technology, Hefei 230009, China
Abstract:

As a generalization of the triple I method, the universal triple Imethod is investigated from the viewpoints of both fuzzy reasoningand fuzzy controller. The universal triple I principle is putforward, which improves the previous triple I principle. Then,unified form of universal triple I method is established based onthe (0,1)-implication or R-implication. Moreover, the reversibilityproperty of universal triple I method is analyzed from expansion,reduction and other type operators, which demonstrate that itsreversibility property seems fine, especially for the case employingthe (0,1)-implication. Lastly, we analyze the response ability offuzzy controllers based on universal triple I method, then thepracticability of triple I method is improved.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

universal triple i method for fuzzy reasoning and fuzzy controller

as a generalization of the triple i method, the universal triple imethod is investigated from the viewpoints of both fuzzy reasoningand fuzzy controller. the universal triple i principle is putforward, which improves the previous triple i principle. then,unified form of universal triple i method is established based onthe (0,1)-implication or r-implication. moreover, the reversibilityproperty o...

full text

PROPERTY ANALYSIS OF TRIPLE IMPLICATION METHOD FOR APPROXIMATE REASONING ON ATANASSOVS INTUITIONISTIC FUZZY SETS

Firstly, two kinds of natural distances between intuitionistic fuzzy sets are generated by the classical natural distance between fuzzy sets under a unified framework of residual intuitionistic implication operators. Secondly, the continuity and approximation property of a method for solving intuitionistic fuzzy reasoning are defined. It is proved that the triple implication method for intuitio...

full text

Vlsi Implementation of a Universal Fuzzy Controller

ABSTRACT: In this paper a non-conventional structure for a “fuzzy” controller is proposed. It does not require signal division, and it produces control surfaces similar to classical fuzzy controllers. The structure combines fuzzification, MIN operators, normalization and weighted sum blocks. The fuzzy architecture is implemented as a VLSI chip using 2um n-well technology. A new fuzzification ci...

full text

An Analysis of General Fuzzy Logic and Fuzzy Reasoning Method

In this article, we describe the fuzzy logic, fuzzy language and algorithms as the basis of fuzzy reasoning, one of the intelligent information processing method, and then describe the general fuzzy reasoning method.

full text

A fuzzy reasoning method based on compensating operation and its application to fuzzy systems

In this paper, we present a new fuzzy reasoning method based on the compensating fuzzy reasoning (CFR). Its basicidea is to obtain a new fuzzy reasoning result by moving and deforming the consequent fuzzy set on the basis of themoving, deformation, and moving-deformation operations between the antecedent fuzzy set and observation information.Experimental results on real-world data sets show tha...

full text

Unified Forms of Fuzzy Similarity Inference Method for Fuzzy Reasoning and Fuzzy Systems

A novel fuzzy reasoning method, called FSI (fuzzy similarity inference) is investigated in this paper. Firstly, the unified forms of FSI which the diverse implication operators can be employed are proposed. And the computational formulas for both fuzzy modus ponens (FMP) and fuzzy modus tollens (FMT) are obtained. Secondly, the unified forms of α-FSI method are established, and the formulas for...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 10  issue 5

pages  1- 24

publication date 2013-10-29

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023