Design of PSO-based Fuzzy Classification Systems
نویسنده
چکیده
In this paper, a method based on the particle swarm optimization (PSO) is proposed for pattern classification to select a fuzzy classification system with an appropriate number of fuzzy rules so that the number of incorrectly classified patterns is minimized. In the PSO-based method, each individual in the population is considered to automatically generate a fuzzy classification system for an M-class classification problem. Subsequently, a fitness function is defined to guide the search procedure to select an appropriate fuzzy classification system such that the number of fuzzy rules and the number of incorrectly classified patterns are simultaneously minimized. Finally, two classification problems are utilized to illustrate the effectiveness of the proposed PSO-based approach.
منابع مشابه
USING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE OF FUZZY CLASSIFICATION SYSTEMS
This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...
متن کاملProposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
In this paper, a new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification system. A novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM criterion. In order to calculate the effective cost of patterns, a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is utilized. This ...
متن کاملA PSO-based Optimization of a fuzzy-based MPPT controller for a photovoltaic pumping system used for irrigation of greenhouses
The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parame...
متن کاملHybrid Stages Particle Swarm Optimization Learning Fuzzy Modeling Systems Design
An innovative hybrid stages particle swarm optimization (HSPSO) learning method, contains fuzzy c-mean (FCM) clustering, particle swarm optimization (PSO) and recursive least-squares, is developed to generate evolutional fuzzy modeling systems to approach three different nonlinear functions. In spite of the adaptive ability of PSO algorithm, its training result is not desirable for the reason o...
متن کاملImproving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA
With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to reduce the dimensionality of features space. There are many feature selection methods. However...
متن کامل