Automatic Fuzzy Rule Base Generation from Numerical Data: Cuckoo Search Algorithm
نویسندگان
چکیده
منابع مشابه
Automatic Fuzzy Rule Base Generation from Numerical Data: Cuckoo Search Algorithm
Fuzzy Classifiers are an powerful class of fuzzy systems. Evolving fuzzy classifiers from numerical data has assumed lot of remarks in the recent past. This paper proposes a method of evolving fuzzy classifiers using a three step technique. In the first step, a modified Fuzzy C–Means Clustering technique is applied to generate membership functions. In the next step, rule base are generated usin...
متن کاملFuzzy Rule base Generation from Numerical Data using Biogeography-based Optimization
Fuzzy rule based systems are one of the very important class of knowledge based systems. The knowledge in a fuzzy system is embedded in the form of a rule base. This short article presents a new approach to rule base extraction from numerical data using Biogeography Based Optimization Approach (BBO). The rule base extraction problem is formulated as the minimization problem. BBO was used to enu...
متن کاملAdjustment of Membership Functions, Generation and Reduction of Fuzzy Rule Base from Numerical Data
In this paper we introduce a new approach for adjustment of membership functions, generation, and reduction of fuzzy rule base from data in the same time. The proposed approach consists of five steps: First, generate fuzzy rules from data using Mendel & Wang Method introduced in [1]. Second, calculate the degree of similarity between rules. Third, measure the distance between the numerical valu...
متن کاملAutomatic Numerical Rule Generation for Fuzzy Controller from Sensor Data by a Modified GA-based Method
A method is proposed to automatically extract numerical control rules from the sensor data without the help of experts by means of a Genetic Algorithms(GA) , which add a different bit crossover operator to the standard GA in order to increases the diversity of individuals and reduce the opportunities of falling into local optima. Every generated numerical rule is accumulated in a control table ...
متن کاملVoltage Sag Compensation with DVR in Power Distribution System Based on Improved Cuckoo Search Tree-Fuzzy Rule Based Classifier Algorithm
A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...
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 Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016907766