Attribute network computing based on qualitative mapping and its application in pattern recognition

Issue title: Fuzzy theory and technology with applications

Article type: Research Article

Authors: Feng, Jili

Affiliations: College of Information Engineering, Shanghai Maritime University, Shanghai, 200135, P.R. China

Abstract: It is shown in this paper that a qualitative mapping model of pattern recognition can be induced by the basic princeple that the pattern P({(x_{j}, y'(x_{j})}) constructed by the set of the pair of varibale x_{j} and its computing value y'(x_{j}) of a function y = f(x) could be considered as the graph of y(x), and a logic circuit, called Attribute Network Computing can be constructed by the relation between the input and output of qualitative mapping, such that not only a lot of artificial intelligent methods, such as Expert Syatem, Artificial Neural Network, and Support Vector Machine can be fused and unified in it, but also a lot of pattern recognition can be implemented by it.

Keywords: Qualitative mapping, attribute network computing, intelligence fusion, expert system, artificial neural network, support vector machine, pattern recognition

Journal: Journal of Intelligent & Fuzzy Systems, vol. 19, no. 4-5, pp. 243-258, 2008