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Supplier selection is a sophisticated and challenged job due to the diversity of intellectual backgrounds of the parties, the many variables involved in supply-demand relationship, the complex interactions and the inadequate knowledge of project participants. To do the job well, it is necessary to develop an intelligent system in supplier selection process. Therefore, an artificial neural networks-based...
Hilbert-Huang Transform (HHT) is a new and powerful theory for nonlinear and non-stationary signal analysis and it is efficient for describing the local features of dynamic signals. The paper introduces briefly the HHT method, validates its validity through the analysis of example, presents a speech enhancement algorithm based on the HHT, and contrasts with the speech denoising method of wavelet....
Aiming at the disadvantages of the standard Particle Swarm Optimization (PSO), a new particle swarm optimization algorithm based on dual mutation(DDPSO) is proposed. By comparing and analyzing the results of several Benchmark functions, the excellent performance of PSO is proved. The improved PSO is applied to optimize the structure and parameters in artificial neural network(ANN). The availability...
CRM, which aims to enhance the effectiveness and performance of the businesses by mining the useful business intelligence of customers, has now become a leading business strategy in highly competitive business environment. In this study, we intend to construct an expert system (ES) platform to address the customerpsilas value analysis based on artificial neural networks, and the construction procedure...
CRM, which aims to enhance the effectiveness and performance of the businesses by improving the customer satisfaction and loyalty, has now become a leading business strategy in highly competitive business environment. The objective of this research is to improve customer satisfaction on productpsilas colors with the aid of the expert system developed by the authors by using artificial neural networks...
Based on the artificial immunology, a hybrid algorithm to design the RBF networks assembly is proposed. An artificial immune mechanism for data clustering is used to adaptively classify the data sample and simultaneously specify the amount and initial position of the RBF centers according to input data set. The degrees of membership are used for combining these models to obtain the final result. The...
This paper proposes an improved PSO (particle swarm optimizer) named as BDPSO (behavior-distance PSO). In BDPSO particle changes fly behaviors guided by the optimum of each particle and the optimum found by the whole particles. In this scheme, individuals can adapt themselves more suitable to search for the destination. Some benchmark functions are tested for comparison the performance between BDPSO...
Fuzzy set theory and rough set theory are useful mathematical tools for dealing with complex information in many real-world applications. In this paper we describe three aspects of this field: theoretical research into the properties of fuzzy sets and rough sets, research on the efficient implementation of this theory(attribute reduction, rule generation), and finally the development of hybrid systems...
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