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Computational approach for roles selection via integrated multi-criteria decision making

Some characteristics and actions are necessary for qualification as an Academic Leader or Academic Manager. Yet, there is a lack of study on how to cultivate and prevent the loss of these qualities and characteristics among distinguished academics. Due to the lack of this training, vacant Academic A...

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Main Authors: Yau'mee Hayati, Hj Mohamed Yusof, Ruzaini, Abdullah Arshah, Awanis, Romli
Format: Conference or Workshop Item
Language:English
English
Published: AIP Publishing 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/42115/1/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria%20decision%20making.pdf
http://umpir.ump.edu.my/id/eprint/42115/2/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria.pdf
http://umpir.ump.edu.my/id/eprint/42115/
https://doi.org/10.1063/5.0180602
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spelling my.ump.umpir.421152024-07-31T06:12:53Z http://umpir.ump.edu.my/id/eprint/42115/ Computational approach for roles selection via integrated multi-criteria decision making Yau'mee Hayati, Hj Mohamed Yusof Ruzaini, Abdullah Arshah Awanis, Romli QA75 Electronic computers. Computer science Some characteristics and actions are necessary for qualification as an Academic Leader or Academic Manager. Yet, there is a lack of study on how to cultivate and prevent the loss of these qualities and characteristics among distinguished academics. Due to the lack of this training, vacant Academic Administrator positions will remain unfilled. Thus, throughout the Talent Development Intervention programme, an efficient approach for assessing the knowledge, abilities, and experience of potential academics is required. This paper compares and integrates the combination results of six (6) Multi-criteria Decision-Making methods using Simple Additive Weightage (SAW), Weight Product Method (WPM), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), ELECTRE (Elimination and Choice Expressing Reality), and CFPR (Consistent Fuzzy Preference Relations) based on the proposed model of Multi-Criteria Tacit Knowledge Acquisition. Based on the proposed model, one set of empirical research employs four (4) principal criteria and seven (7) sub-criteria to choose the best applicant for academic administrator positions. The research reveals that, with the exception of the SAW method, other processes provide identical results. AIP Publishing 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42115/1/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria%20decision%20making.pdf pdf en http://umpir.ump.edu.my/id/eprint/42115/2/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria.pdf Yau'mee Hayati, Hj Mohamed Yusof and Ruzaini, Abdullah Arshah and Awanis, Romli (2024) Computational approach for roles selection via integrated multi-criteria decision making. In: AIP Conference Proceedings. 2nd International Conference on Science, Engineering and Technology, ICSET 2022 , 6 - 7 July 2022 , Arau, Malaysia. pp. 1-14., 2934 (1). ISSN 0094-243X (Published) https://doi.org/10.1063/5.0180602
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Yau'mee Hayati, Hj Mohamed Yusof
Ruzaini, Abdullah Arshah
Awanis, Romli
Computational approach for roles selection via integrated multi-criteria decision making
description Some characteristics and actions are necessary for qualification as an Academic Leader or Academic Manager. Yet, there is a lack of study on how to cultivate and prevent the loss of these qualities and characteristics among distinguished academics. Due to the lack of this training, vacant Academic Administrator positions will remain unfilled. Thus, throughout the Talent Development Intervention programme, an efficient approach for assessing the knowledge, abilities, and experience of potential academics is required. This paper compares and integrates the combination results of six (6) Multi-criteria Decision-Making methods using Simple Additive Weightage (SAW), Weight Product Method (WPM), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), ELECTRE (Elimination and Choice Expressing Reality), and CFPR (Consistent Fuzzy Preference Relations) based on the proposed model of Multi-Criteria Tacit Knowledge Acquisition. Based on the proposed model, one set of empirical research employs four (4) principal criteria and seven (7) sub-criteria to choose the best applicant for academic administrator positions. The research reveals that, with the exception of the SAW method, other processes provide identical results.
format Conference or Workshop Item
author Yau'mee Hayati, Hj Mohamed Yusof
Ruzaini, Abdullah Arshah
Awanis, Romli
author_facet Yau'mee Hayati, Hj Mohamed Yusof
Ruzaini, Abdullah Arshah
Awanis, Romli
author_sort Yau'mee Hayati, Hj Mohamed Yusof
title Computational approach for roles selection via integrated multi-criteria decision making
title_short Computational approach for roles selection via integrated multi-criteria decision making
title_full Computational approach for roles selection via integrated multi-criteria decision making
title_fullStr Computational approach for roles selection via integrated multi-criteria decision making
title_full_unstemmed Computational approach for roles selection via integrated multi-criteria decision making
title_sort computational approach for roles selection via integrated multi-criteria decision making
publisher AIP Publishing
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/42115/1/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria%20decision%20making.pdf
http://umpir.ump.edu.my/id/eprint/42115/2/Computational%20approach%20for%20roles%20selection%20via%20integrated%20multi-criteria.pdf
http://umpir.ump.edu.my/id/eprint/42115/
https://doi.org/10.1063/5.0180602
_version_ 1822924559148384256
score 13.239859

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