Sentence examples for design and fuzzy from inspiring English sources
A multiple index optimization method for ERT sensors is put forward which combines an orthogonal design and fuzzy analysis.
This study adopts focus group methodology for collaborative design and fuzzy analytic hierarchy process (FAHP) for collaborative analysis.
This study offers an integrated Information Technology planning methodology combining Fuzzy Quality Function Deployment, Fuzzy Axiomatic Design and Fuzzy Rule Based Systems.
Under the framework of the backstepping control design and fuzzy adaptive control, a new adaptive fuzzy output tracking control method is developed.
Experimental design and fuzzy sets are employed to collect the input output data set based on the evaluated relationships between CRs and DRs and the correlations among DRs in QFD processes based on the QFD team's ability, experience, and knowledge.
In the paper, an attempt is made to create the bridge between two important design techniques, i.e., H∞ control design and fuzzy control design, so as to supply H∞ control design with more intelligence and fuzzy control design with better robust performance.
A hybrid approach, obtained by combining robust parameter design methodology and Fuzzy logic theory has been applied to compute the fuzzy multi-response performance index.
The main objective of this work is to fit results from lead biosorption by untreated and chemically treated olive stone (OS) using two models: means of full factorial design methodology and fuzzy neural network.
Two new experimental design methods, referred to as the Gaussian probability design and the fuzzy boundary design, are proposed and compared with a conventional factorial design.
Both the Gaussian probability design and the fuzzy boundary design methods automatically search for regions, where training data are sparse, and add pairs of training data on both sides of a class boundary where the data density is the lowest.
By using a central composite factorial design and a fuzzy neural model, equations relating each dependent variable to the different independent variables were derived that reproduced the experimental results for the dependent variables with errors less than 14%.
