Choose qualified instructor for university based on rule-based weighted expert system

  title={Choose qualified instructor for university based on rule-based weighted expert system},
  author={Sana Karimian},
  • S. Karimian
  • Published 9 August 2022
  • Computer Science
  • ArXiv
: Near the entire university faculty directors must select some qualified professors for respected courses in each academic semester. In this sense, factors such as teaching experience, academic training, competition, etc. are considered. This work is usually done by experts, such as faculty directors, which is time consuming. Up to now, several semi-automatic systems have been proposed to assist heads. In this article, a fully automatic rule-based expert system is developed. The proposed… 

Figures and Tables from this paper




An online Expert System which guides the students for the selection of their undergraduate courses after the completion of higher secondary school education is constructed.

Career Advisor Expert System Based on Myers Briggs Personality Assessment

This expert system would minimize cost, alleviate career problems and always provide reliable career advice void of human error, and future work can focus on the engineering of other models that can influence the choice of career other than the complex personality trait.

Analysis of Rule Based Expert Systems Developed and Implemented for Career Selection

The paper presents the guidelines for the design of rule based expert system for career selection and analyzes the parameters: targeted users, development mode, tools used, system, knowledge base, inference engine, factors affecting career selection, and research gap.

Medical Expert Systems Survey

An overview of this technology is given and a survey on many papers done in health using expert system is discussed, which shows an increase in the efficiency and the quality.

A comparative study of decision tree ID3 and C4.5

This study presents the classical algorithm that is ID3, then highlights of this study will discuss in more detail C4.5 this one is a natural extension of the ID3 algorithm and a comparison between these two algorithms and others algorithms such as C5.0 and CART.

Medical Expert Systems for Diagnosis of Various Diseases

This review paper presents a comprehensive study of medical expert systems for diagnosis of various diseases and provides a brief overview of medical diagnostic expert systems and presents an analysis of already existing studies.

Rule Extraction from Decision Trees Ensembles: New Algorithms Based on Heuristic Search and Sparse Group Lasso Methods

Three new rule extraction algorithms from DTEs are proposed that outperform similar state-of-the-art methods, in terms of human comprehensibility, by greatly reducing the number of rules and limiting theNumber of antecedents in the retained rules, while preserving the same level of accuracy.