Fuzzy Modeling Using Cooperative Genetic Algorithm

نویسندگان

  • Mohd Arfian Ismail
  • Hishammuddin Asmuni
  • Siti Zaiton Mohd Hashim
چکیده

Fuzzy logic is a powerful method because of its ability to allow the knowledge in the model to be extracted and interpreted by knowledge system. Fuzzy modeling is an approach which implements the fuzzy logic in the process of modeling the system. But in the construction of the complex system, there is a limitation of fuzzy model due to the large number of related input and output, dealing with many parameters. In addition to this, the representation of the solution is complex. To overcome these issues, cooperative genetic algorithm in automated generation of fuzzy model is introduced in this paper. This method is the combination of the search ability in Genetic Algorithm and the coevolutionary algorithm technique in order to find the optimized fuzzy model.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimization of e-Learning Model Using Fuzzy Genetic Algorithm

E-learning model is examined of three major dimensions. And each dimension has a range of indicators that is effective in optimization and modeling, in many optimization problems in the modeling, target function or constraints may change over time that as a result optimization of these problems can also be changed. If any of these undetermined events be considered in the optimization process, t...

متن کامل

Modeling of Epistemic Uncertainty in Reliability Analysis of Structures Using a Robust Genetic Algorithm

In this paper the fuzzy structural reliability index was determined through modeling epistemic uncertainty arising from ambiguity in statistical parameters of random variables. The First Order Reliability Method (FORM) has been used and a robust genetic algorithm in the alpha level optimization method has been proposed for the determination of the fuzzy reliability index. The sensitivity level ...

متن کامل

Optimization of e-Learning Model Using Fuzzy Genetic Algorithm

E-learning model is examined of three major dimensions. And each dimension has a range of indicators that is effective in optimization and modeling, in many optimization problems in the modeling, target function or constraints may change over time that as a result optimization of these problems can also be changed. If any of these undetermined events be considered in the optimization process, t...

متن کامل

Cooperative Coevolutionary Fuzzy Systems

Genetic algorithms have proved to be a suit choice for fuzzy modeling, however, with the number of dimensions increase, genetic algorithm tends to be inefficient. In this paper, we present a combination of cooperative coevolutionary genetic algorithm (CCGA) with fuzzy system. The flexible coding scheme permits one chromosome correspond a rule. For a high dimensional system, all rules can be coe...

متن کامل

Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms

In this paper, we present an evolutionary multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler, more compact and still accurate linguistic fuzzy models by learning fuzzy inference operators together with Rule Base. The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with diff...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009