A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi

Registered to jobs searching websites, searching the newspaper advertisement and other method are used in job searching among students. Students faced with a lot of problems to find suitable job when they graduate soon because of no facilities especially from the faculty itself that can assist in pr...

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Main Author: Azuardi, Refnaldy
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/10681/
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author Azuardi, Refnaldy
author_facet Azuardi, Refnaldy
author_sort Azuardi, Refnaldy
building UiTM Institutional Repository
collection Online Access
description Registered to jobs searching websites, searching the newspaper advertisement and other method are used in job searching among students. Students faced with a lot of problems to find suitable job when they graduate soon because of no facilities especially from the faculty itself that can assist in providing alternative jobs for them. So, integration between fuzzy and Multiple Attribute Decision Making (MADM) method will become the technique to solve this problem. The main purpose of this research is to develop the Fuzzy MADM expert system prototype for job matching problem. Students from four courses have been selected in this research and matched with six jobs selected. This system can assist students in finding suitable jobs that match their skills and qualifications. Weight will assign to computer knowledge and skill and additional values sub-attributes were the earliest stage before fuzzy process started
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spelling uitm-106812020-10-26T08:43:55Z https://ir.uitm.edu.my/id/eprint/10681/ A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi Azuardi, Refnaldy Electronic Computers. Computer Science Electronic data processing. Computer-aided engineering Registered to jobs searching websites, searching the newspaper advertisement and other method are used in job searching among students. Students faced with a lot of problems to find suitable job when they graduate soon because of no facilities especially from the faculty itself that can assist in providing alternative jobs for them. So, integration between fuzzy and Multiple Attribute Decision Making (MADM) method will become the technique to solve this problem. The main purpose of this research is to develop the Fuzzy MADM expert system prototype for job matching problem. Students from four courses have been selected in this research and matched with six jobs selected. This system can assist students in finding suitable jobs that match their skills and qualifications. Weight will assign to computer knowledge and skill and additional values sub-attributes were the earliest stage before fuzzy process started 2005 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/10681/1/10681.pdf Azuardi, Refnaldy (2005) A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi. (2005) Degree thesis, thesis, Universiti Teknologi MARA.
spellingShingle Electronic Computers. Computer Science
Electronic data processing. Computer-aided engineering
Azuardi, Refnaldy
A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title_full A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title_fullStr A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title_full_unstemmed A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title_short A fuzzy MADM (Multiple Attribute Decision Making) expert system for job matching / Refnaldy Azuardi
title_sort fuzzy madm (multiple attribute decision making) expert system for job matching / refnaldy azuardi
topic Electronic Computers. Computer Science
Electronic data processing. Computer-aided engineering
url https://ir.uitm.edu.my/id/eprint/10681/