TSK-type fuzzy rule based modelling of machining on MMCs
by Arup Kumar Nandi
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 3, No. 1/2, 2010

Abstract: A combined approach of a Genetic Algorithm (GA) and Multiple Linear Regression (MLR) is proposed to construct the Knowledge Base (KB) of Fuzzy Rule Based Model (FRBM) for turning operations on Metal Matrix Composites (MMCs). The appropriate FRBM is arrived at after a thorough investigation of the performances of various FRBMs (constructed with different structures of Rule-Consequent Function (RCF)) by comparing their results with experimental data and existing correlation models, as well as by using statistical analysis. It has been shown that the structure of the RCF is a critical aspect for constructing appropriate TSK-type FRBMs for the concerned process.

Online publication date: Wed, 02-Dec-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Manufacturing Systems (IJMMS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com