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Integrated decision support system for human resource selection using TOPSIS based models

Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Ord...

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Main Authors: Wan Suryani, Wan Awang, Fadhilah, Ahmad, Syadiah Nor, Wan Shamsuddin
Format: Article
Language:English
Published: Hikari Ltd. 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.unisza.edu.my/7135/1/FH02-FIK-16-06426.jpg
http://eprints.unisza.edu.my/7135/
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spelling my-unisza-ir.71352022-09-13T05:09:36Z http://eprints.unisza.edu.my/7135/ Integrated decision support system for human resource selection using TOPSIS based models Wan Suryani, Wan Awang Fadhilah, Ahmad Syadiah Nor, Wan Shamsuddin QA75 Electronic computers. Computer science Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is adopted together with fuzzy TOPSIS and Fuzzy set theory to provide solutions to Multi-criteria decision making (MCDM) problems associated with human resource selection (HRS) process. The proposed framework of Integrated Decision Support System for Human Resource Selection using TOPSIS based models was constructed and presented in this paper. Hikari Ltd. 2015 Article PeerReviewed image en http://eprints.unisza.edu.my/7135/1/FH02-FIK-16-06426.jpg Wan Suryani, Wan Awang and Fadhilah, Ahmad and Syadiah Nor, Wan Shamsuddin (2015) Integrated decision support system for human resource selection using TOPSIS based models. Applied Mathematical Sciences, 9 (129). pp. 6403-6414. ISSN 1312885X [P]
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Wan Suryani, Wan Awang
Fadhilah, Ahmad
Syadiah Nor, Wan Shamsuddin
Integrated decision support system for human resource selection using TOPSIS based models
description Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is adopted together with fuzzy TOPSIS and Fuzzy set theory to provide solutions to Multi-criteria decision making (MCDM) problems associated with human resource selection (HRS) process. The proposed framework of Integrated Decision Support System for Human Resource Selection using TOPSIS based models was constructed and presented in this paper.
format Article
author Wan Suryani, Wan Awang
Fadhilah, Ahmad
Syadiah Nor, Wan Shamsuddin
author_facet Wan Suryani, Wan Awang
Fadhilah, Ahmad
Syadiah Nor, Wan Shamsuddin
author_sort Wan Suryani, Wan Awang
title Integrated decision support system for human resource selection using TOPSIS based models
title_short Integrated decision support system for human resource selection using TOPSIS based models
title_full Integrated decision support system for human resource selection using TOPSIS based models
title_fullStr Integrated decision support system for human resource selection using TOPSIS based models
title_full_unstemmed Integrated decision support system for human resource selection using TOPSIS based models
title_sort integrated decision support system for human resource selection using topsis based models
publisher Hikari Ltd.
publishDate 2015
url http://eprints.unisza.edu.my/7135/1/FH02-FIK-16-06426.jpg
http://eprints.unisza.edu.my/7135/
_version_ 1744358581622276096
score 13.18916

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