A New Fuzzy Approach to Intelligent Management Systems

摘要

In traditional intelligent management systems, knowledge acquisition, storage, and processing are built upon a text-based representation of the information. This paper explores a new approach of quantifying the information and transforming logical arguments to mathematical functions using fuzzy logic concepts. Two matrix-like data structures called the Genetic Seed and the Evolution Matrix are used to store the preset and current information of the system. The process of Evolution Matrix Multiplication connects the genetic seed with the evolution matrix and facilitates the reasoning and learning capability of the system. A detailed procedure for applying this new matrix architecture is provided in this paper.