Implementation of a decision support system for human resources evaluation and selection
Dissertant
Thesis advisor
al-Masadah, Shadi Rashid Ata Allah
Zaraqu, Jamal
University
Isra University
Faculty
Faculty of Information Technology
Department
Department Software Engineering
University Country
Jordan
Degree
Master
Degree Date
2020
English Abstract
The Implementation of a Decision Support System for Human Resources evaluation and Selection is used to evaluate twenty-five CVS and select the best three among them from linked in to decrease the human interaction with the employment process which may increase the accuracy of employees selecting.
The aim of this study is to develop Implementation of a Decision Support System for Human Resources Evaluation and Selection.
In this study, the researcher seeks for the appropriate staff for the project according to their skills and characteristics using Artificial Intelligence techniques.
In addition, the objectives of this study are studying the previous approaches to define or modify a method for solving its problem by performing an evaluation study to see the effectiveness of our defined method.
The study major contribution is the suggestion an ontology that focuses on defining the competencies and experience for workers using the Genetic Algorithm to use the classification rule, and the use of semantic methods in the current thesis, it is the maybe of the one attempt to create a method that selects the right staff according to their skills and expertise without the intervention of the human factor.
To use this system in different companies to reduce time and effort in the selection process.
However, any company will be more productive in its various businesses because of choosing the right employee in the right place.
The program was created by using C# and Asp.net.
The assessment of the classifier accuracy of the resulting classification rule indicates the requiring to create more precise descriptions to improve the SRL.
In the present study, the researcher introduced a semantic-based method capable of recommending the workers that apply for job by examining the experiences, skills, major and.
The plan achieved impressive outcomes via an F-Measurement value of 0.7747 and Precision Value of 0.7942.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
71
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : The design and methodology.
Chapter Four : Future work.
References.
American Psychological Association (APA)
al-Julaylat, Anwar Hijab. (2020). Implementation of a decision support system for human resources evaluation and selection. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-988681
Modern Language Association (MLA)
al-Julaylat, Anwar Hijab. Implementation of a decision support system for human resources evaluation and selection. (Master's theses Theses and Dissertations Master). Isra University. (2020).
https://search.emarefa.net/detail/BIM-988681
American Medical Association (AMA)
al-Julaylat, Anwar Hijab. (2020). Implementation of a decision support system for human resources evaluation and selection. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-988681
Language
English
Data Type
Arab Theses
Record ID
BIM-988681