Use of the fuzzy method to predict the probability of the breakdown in gas

Autor: Shih-Shong Yen, Kun-Li Wen, Yu-Gi Chen
Rok vydání: 2002
Předmět:
Zdroj: Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications.
DOI: 10.1109/iacet.1995.527587
Popis: This paper develops a new "approaching degree" from the degree of the fuzziness. An application to the prediction of the probability of "the breakdown in a gas" is given. This paper can be divided into three. First, a new fuzziness is developed, and a new approaching degree is also derived. Second, an example of prediction of the probability of breakdown in the gas is simulated by C language and emulated by practical experiment. The authors come to the conclusion that the new method is very accurate in the prediction of the breakdown in a gas.
Databáze: OpenAIRE