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This also confirms which one is a superior choice of the two fuzzy inference systems for diagnosis of diabetes.
Book ChapterDOI
01 Jan 2007
34 Citations
The latter implies both flexibility and effectiveness in fuzzy inference applications.
Experimental results prove that the fuzzy inference system is efficient.
The computational analyses of six different fuzzy systems demonstrate the inference efficiency of the proposed method.
The classification done using fuzzy inference system provides results that are better than other techniques.
The results obtained show that the defuzzifier and the T-norm operator are the most relevant factors in the fuzzy inference process.
In effect of the comparison of the results of both experiments it was demonstrated that better results were obtained in the system utilising the fuzzy inference system.
To the authors’ knowledge, this is the first use of a fuzzy inference system in the domain of value of information.
The results obtained verify the good behavior of the fuzzy inference system calculated.
The results obtained show the effectiveness of the proposed method to design structures of fuzzy inference systems.

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