H∞ estimation for fuzzy membership function optimization
نویسندگان
چکیده
منابع مشابه
Hinfinity estimation for fuzzy membership function optimization
Follow this and additional works at: http://engagedscholarship.csuohio.edu/enece_facpub Part of the Computer Engineering Commons Publisher's Statement NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Approximate Reasoning. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, a...
متن کاملH1 Estimation for Fuzzy Membership Function Optimization
Given a fuzzy logic system, how can we determine the membership functions that will result in the best performance? If we constrain the membership functions to a speci ̄c shape (e.g., triangles or trapezoids) then each membership function can be parameterized by a few variables and the membership optimization problem can be reduced to a parameter optimization problem. The parameter optimization ...
متن کاملEvaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...
متن کاملOptimization of Fuzzy Membership Function Using Clonal Selection
A clonal selection algorithm (Clonalg) inspires from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic stimulus. It takes place in various scientific applications and it can be also used to determine the membership functions in a fuzzy system. The aim of the study is to adjust the shape of membership functions and a novice aspect of the...
متن کاملFuzzy Clustering, Feature Selection, and Membership Function Optimization
This paper explores the topic of fuzzy clustering, feature selection, and membership function optimization. Feature selection plays a crucial role for all fuzzy clustering applications, as the selection of appropriate features determines the quality of the resulting clusters. We will show how fuzzy clustering can be applied to data mining problems by introducing some of the most commonly used c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2005
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2005.04.002