A problem of defuzziÿcation of a fuzzy test for testing statistical hypotheses with vague data is considered. Two defuzziÿcation operators are discussed. It is shown that the superposition of a fuzzy test and these operators leads to decision strategies equivalent to the classical crisp tests. Moreo
Fuzzy control and defuzzification
✍ Scribed by A. Hussu
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 542 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0957-4158
No coin nor oath required. For personal study only.
✦ Synopsis
For two example systems, controlled by either a linear controller or one of five fuzzy controllers (with different defuzzification procedures), responses to step functions are presented in time and in frequency space to qualitatively judge and select the most appropriate defuzzification procedure. It can be concluded from the given responses that of the five defuzzification procedures considered interpolation gives the best results, when smoothness of the time responses and their frequency spectra is taken as a criterion. Interpolation also improves the robustness of the controller.
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