COMPUTERIZING A RULE-BASED EXPERT SYSTEMS FOR DYNAMIC SCHEDULING IN BATCH PRODUCTION

Rule-based Expert Systems

A general introduction to artificial intelligence methods of measurement signal processing is given in Article 128, Nature and Scope of AI Techniques, Volume 2. Problem solving is the process of finding a solution when the path leading to that solution is uncertain. Even though we are familiar with several problem-solving techniques, in the real world, sometimes many problems cannot be solved b...

A Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems

Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and  interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...

A Dynamic Scheduling Algorithm for Real-Time Expert Systems

Computational characteristics of real-time expert systems have been the subject of research for more than a decade. The computation time required to complete inferences carried out by expert systems present high variability, which usually leads to severe under-utilization of resources when the design of the schedule of inferences is based on their worst computation times. Moreover, the event-ba...

Rule-based Expert Systems for Selecting Information Systems Development Methodologies

Information Systems (IS) are increasingly becoming regarded as crucial to an organization's success. Information Systems Development Methodologies (ISDMs) are used by organizations to structure the information system development process . ISDMs are essential for structuring project participants’ thinking and actions; therefore ISDMs play an important role to achieve successful projects . There ...

Principles of Rule-Based Expert Systems