A Real-Time Algorithm for Intelligent Control Embedded in Knowledge based Systems

Consistent with the growing interest in organizational knowledge and Knowledge Management, many ICT researchers have been promoting a class of Knowledge Management Systems (KMSs), referred as Knowledge based Systems. The objective of a KMS is to support knowledge capturing, categorizing, storing, searching, distributing and application within organizations. Technical advances in computers’ processing and storage capacity, together with linking these computers into networks of distributed nodes, have greatly increased the organizations’ capability to deliver goods and services. Along with these capabilities we need quality, accuracy, responsiveness and capacity. The aim of this paper is to present a Knowledge Management System based on Fuzzy Logic (KMSFL), a real-time expert system to meet the challenges of the dynamic environment. The main feature of our integrated shell KMSFL is that it models and integrates the temporal relationships between the dynamic of the process evolution with some fuzzy inferential methods, using a knowledge model for control, embedded within the expert system’s operational knowledge base.