In this paper, we present an expert system, called PASS (Predicting Ability of Students to Succeed), which is used to predict how certain is that a student of a specific type of high school in Greece will pass the national exams for entering a higher education institute. Prediction is made at two points. An initial prediction is made after the second year of studies and the final after the end ...

Expert systems have been developed around one expert part ly because the expert has been totally responsible for the soundness of the knowledge base. Without strong aids to help ensure soundness in building expert systems, we must rely on the soundness of the mature cohesiveness of a human expert. As knowledge bases grow this mature expertise will not be adequate. We propose a new method (for e...

This paper describes concepts being developed for processing events in a rule-based system, to be deployed in an embedded system that is part of a railway interlocking system, used as a safety-motivated secondary software channel. Events are either status notifications or operator commands, both of which operate on elements in a railway interlocking plant. It is shown that an object-oriented hi...

fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...

One-third of the people with an age over twenty have some signs of degenerated discs. However, in most of the patients the mere presence of degenerative discs is not a problem leading to pain, neurological compression, or other symptoms. This paper presents an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interv...

Advancement and application of rule-based expert systems have been a key research area in explainable artificial intelligence (XAI) because the rule-base is one most common natural frameworks for knowledge representation. The present work aims to design novel system, called Cumulative Belief Rule-Based System (CBRBS), by establishing efficient modeling inference procedures, where procedure incl...

Man, is living in an era that the knowledge is estimated to be doubled in a relatively short time. The fast rate of technology's growth in the "Century of information", is caused by fast growth of communication technologies like the internet which has become one of the best tools for a quick, cheap, effective and vastly supported communication. For an efficient and effective usage of tools and ...