توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A Hybrid Approach to Optimize Fuzzy If – Then Rules
نویسنده(ها): ،
اطلاعات انتشار: دوازدهمین کنفرانس ملی سیستمهای هوشمند، سال
تعداد صفحات: ۶
In this paper we propose a hybrid approach attempting to find optimal value and points for profit and cost functions for which there is no equivalentequation . In this case only vague information as fuzzy ifthenrules are accessible. This approach involves five steps: In the first step, fuzzy rules by expert information arecollected and in the second step Mamdani inference method is applied to produce a surface called M–surface. As this surface is not a desirable one, so in the third step,data is extracted from the M–surface and they are used in Surrogate Software. Then in the forth step, by usingvarious methods in Surrogate more accurate vision is built for the mentioned function of fuzzy if–then rules. In the final step a Genetic Algorithm is applied to optimize theresult model. This approach can be used to optimize any unknown function via finding only a number of fuzzy ifthen rules of this function by the aid of experts<\div>
نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه