Roles selection: a computational approach using ELECTRE and CFFR based on multi criteria tacit knowledge acquisition

Yau’mee Hayati, Hj Mohamed Yusof and Ruzaini, Abdullah Arshah and Awanis, Romli (2021) Roles selection: a computational approach using ELECTRE and CFFR based on multi criteria tacit knowledge acquisition. In: Journal of Physics: Conference Series; 1st International Recent Trends in Engineering, Advanced Computing and Technology Conference, RETREAT 2020, 1 - 3 December 2020 , Paris, France (Virtual). pp. 1-13., 1874 (1). ISSN 1742-6588 (print); 1742-6596 (online)

Pdf (Open access)
Roles selection-a computational approach using ELECTRE and CFFR.pdf
Available under License Creative Commons Attribution.

Download (1MB) | Preview


During the Talent Development Intervention programme, there is a need to provide an effective model to assess awareness, skills and experience among potential academics. To qualify as an Academic Leader or Academic Manager, there are certain characteristics and t raits necessary. However, there is a lack of research on the training of talented academicians to improve and avoid the loss of these characteristics and traits. Lack of this training would also contribute to vacancy positions of Academic Administrator without being hired. This paper aims to formulate and compare the Multi-criteria Decision-Making methods using ELECTRE (Elimination and Choice Expressing Reality) and CFPR (Consistent Fuzzy Preference Relations) based on proposed model of Multi Criteria Tacit Knowledge Acquisition (MC-TKAF). One set of empirical study based on proposed model contain seventeen (17) main criteria's and one hundred eights (108) sub criteria are used to select the best candidate to fill in academic administrator roles. In this study, our focus is to integrate MCDM using CFFR and ELECTRE into implementation of Talent Development Intervention based on MC-TKAF development criteria. This paper also highlighted previous literatures which has shown how MC TKAF is formed and the justification of MCDM technique that will be used. The finding shows that both techniques produce the same results.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Multi-criteria decision-making; ELECTRE; CFPR; Talent Development Intervention
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 31 Jul 2021 09:48
Last Modified: 31 Jul 2021 09:48
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item