A comparison between singular value decomposition and eigenvector method in group decision making
In any group decision making exercise, the issues of having justified and consistent decisions are always of major concerns, especially when the group members come from diverse backgrounds, selection expectations and priorities, and there are a number of selection criteria to consider. This paper...
| Main Authors: | , |
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| Format: | Article |
| Published: |
Penerbit ukm
2008
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| Online Access: | http://journalarticle.ukm.my/1859/ |
| _version_ | 1848809677788282880 |
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| author | Nur Jumaadzan Zaleha Mamat, Afzan Adam , |
| author_facet | Nur Jumaadzan Zaleha Mamat, Afzan Adam , |
| author_sort | Nur Jumaadzan Zaleha Mamat, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | In any group decision making exercise, the issues of having justified and consistent decisions
are always of major concerns, especially when the group members come from diverse
backgrounds, selection expectations and priorities, and there are a number of selection criteria
to consider. This paper looks at these issues in the faculty member selection domain where the
objective is to select the best candidate to be the new faculty member. Two hypotheses are
tested using two-way ANOVA; overall candidates’ ranking depends on their own performance
and competencies, and overall candidates’ ranking does not depend on individual selection
committee members’ different roles. Selection committee members were treated as treatment
factor while the candidates as the blocking factor. Singular value decomposition (SVD) and
eigenvector method (EM), two different methods in analytic hierarchy process (AHP) were
used to obtain the rankings. The statistical tests showed that both SVD and EM resulted in the
same conclusion, that is the overall candidates’ ranking does not depend on the difference in
the selection committee members’ selection criteria preferences, but on the individual
candidates’ performance and competencies. Hence, all parties can be assured of an unbiased
evaluations and the selection process itself is conducted in the most professional manner |
| first_indexed | 2025-11-14T23:18:25Z |
| format | Article |
| id | ukm-1859 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T23:18:25Z |
| publishDate | 2008 |
| publisher | Penerbit ukm |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ukm-18592011-06-15T06:51:28Z http://journalarticle.ukm.my/1859/ A comparison between singular value decomposition and eigenvector method in group decision making Nur Jumaadzan Zaleha Mamat, Afzan Adam , In any group decision making exercise, the issues of having justified and consistent decisions are always of major concerns, especially when the group members come from diverse backgrounds, selection expectations and priorities, and there are a number of selection criteria to consider. This paper looks at these issues in the faculty member selection domain where the objective is to select the best candidate to be the new faculty member. Two hypotheses are tested using two-way ANOVA; overall candidates’ ranking depends on their own performance and competencies, and overall candidates’ ranking does not depend on individual selection committee members’ different roles. Selection committee members were treated as treatment factor while the candidates as the blocking factor. Singular value decomposition (SVD) and eigenvector method (EM), two different methods in analytic hierarchy process (AHP) were used to obtain the rankings. The statistical tests showed that both SVD and EM resulted in the same conclusion, that is the overall candidates’ ranking does not depend on the difference in the selection committee members’ selection criteria preferences, but on the individual candidates’ performance and competencies. Hence, all parties can be assured of an unbiased evaluations and the selection process itself is conducted in the most professional manner Penerbit ukm 2008-07 Article PeerReviewed Nur Jumaadzan Zaleha Mamat, and Afzan Adam , (2008) A comparison between singular value decomposition and eigenvector method in group decision making. Journal of Quality Measurement and Analysis, 4 (1). pp. 109-117. ISSN 1823-5670 http://www.ukm.my/~ppsmfst/jqma/index.html |
| spellingShingle | Nur Jumaadzan Zaleha Mamat, Afzan Adam , A comparison between singular value decomposition and eigenvector method in group decision making |
| title | A comparison between singular value decomposition and
eigenvector method in group decision making
|
| title_full | A comparison between singular value decomposition and
eigenvector method in group decision making
|
| title_fullStr | A comparison between singular value decomposition and
eigenvector method in group decision making
|
| title_full_unstemmed | A comparison between singular value decomposition and
eigenvector method in group decision making
|
| title_short | A comparison between singular value decomposition and
eigenvector method in group decision making
|
| title_sort | comparison between singular value decomposition and
eigenvector method in group decision making |
| url | http://journalarticle.ukm.my/1859/ http://journalarticle.ukm.my/1859/ |