CAJ | 학술논문

运用聚合运算符γ算子和一个全新的方法处理模糊推理中的全局数据贡献,可以有效地解决模糊专家系统外壳FuzzyJ Toolkit在推理过程中出现的信息丢失和运行效率降低问题.实例分析表明,这种方法可以克服系统采用的max,min操作符所固有的不精确性,有效地提高信息的准确性和系统的性能,从而增强了系统的可用性.
운용취합운산부γ산자화일개전신적방법처리모호추리중적전국수거공헌,가이유효지해결모호전가계통외각FuzzyJ Toolkit재추리과정중출현적신식주실화운행효솔강저문제.실례분석표명,저충방법가이극복계통채용적max,min조작부소고유적불정학성,유효지제고신식적준학성화계통적성능,종이증강료계통적가용성.
By applying the aggregation operator γ-operator and introducing a new method for global data contribution, the problems of information loss and the decrease of running efficiency in FuzzyJ Toolkit, an expert system shell, can be effectively solved. The example shows that the approach can overcome imprecision of max-operator and min-operator used during the process of fuzzy reasoning. Therefore, the information accuracy and the system performance can be effectively improved, which promotes the usability of FuzzyJ Toolkit.