X. L. Min, K. Z. Guo, “Knowledge Model Based on Error Logic for Intelligent System,” World Congress on Computer Science and Information Engineering, Los Angeles, 31 March-2 April 2009, pp. 216-220.

has been cited by the following article:

• TITLE: A Study Regarding Solution of a Knowledge Model Based on the Containing-Type Error Matrix Equation

  AUTHORS: Xilin Min, Kaizhong Guo, Jize Huang

  KEYWORDS: Error Matrix; Set Equation; Containing-Type Error Matrix Equation; Knowledge Model

  JOURNAL NAME: Engineering, Vol.4 No.8, August 31, 2012

  ABSTRACT: An error matrix equation based on error matrix theory was presented in previous research of the error-eliminating theory. The purpose of solving the error matrix equation is to create a decision support on how to switch from bad to good status. A matrix based on error logic is used to express current status u, expectant status u1 and transformation matrix T. It is u, u1, and T that are used to build error matrix equation T (u)= u1. This allows us to find a method whereby bad status “u” changes to good status “u1” by solving the equation. The conversion method that transform from current to expectant status can be obtained from the transformation matrix T. On this basis, this paper proposes a new kind of error matrix equation named “containing-type error matrix equation”. This equation is more suitable for analyzing the realistic question. The method of solving, existence and form of solution for this type of equation have been presented in this paper. This research provides a potential useful new technique for decision analysis.