TY - GEN
T1 - Establishing a quantitaive performance evaluation framework trhough fuzzy membership functions
AU - Chow, Lai-Kit
AU - Ng, S. Thomas
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - Past practice of proposal-oriented Prequalification and Selection (PS) of Engineering Consultants (EC) is found problematic. Nowadays, public sectors and quasi-governmental organizations in many advanced countries emphasize on gauging ECs' performance at different project stages to congregate a set of Consultant Performance Evaluation (CPE) data for future PS. It is believed that the performance of ECs in previous projects could directly reflect its real strength and ability for succeeding assignments. To further enhance the reliability, it is desirable to merge all the CPE data from different clients into an integrated repository. A universal set of CPE criteria and corresponding Quantitative Indicators (QI) were compiled in previous research to provide a common evaluation platform. However, evaluation variations still exist as the QI require assessors' subjective value judgement based on their own expectations. The paper summarized the CPE criteria and QI identified in previous research, and illustrated the discrepancies arisen from applying subjective judgement in the evaluation. To tackle this deficiency, the paper further described how Quantitative Requirements (QR) of each QI against different performance levels could be established, by utilizing modified horizontal approach to develop fuzzy membership functions for each QI. Finally, an objective evaluation framework for CPE is proposed.
AB - Past practice of proposal-oriented Prequalification and Selection (PS) of Engineering Consultants (EC) is found problematic. Nowadays, public sectors and quasi-governmental organizations in many advanced countries emphasize on gauging ECs' performance at different project stages to congregate a set of Consultant Performance Evaluation (CPE) data for future PS. It is believed that the performance of ECs in previous projects could directly reflect its real strength and ability for succeeding assignments. To further enhance the reliability, it is desirable to merge all the CPE data from different clients into an integrated repository. A universal set of CPE criteria and corresponding Quantitative Indicators (QI) were compiled in previous research to provide a common evaluation platform. However, evaluation variations still exist as the QI require assessors' subjective value judgement based on their own expectations. The paper summarized the CPE criteria and QI identified in previous research, and illustrated the discrepancies arisen from applying subjective judgement in the evaluation. To tackle this deficiency, the paper further described how Quantitative Requirements (QR) of each QI against different performance levels could be established, by utilizing modified horizontal approach to develop fuzzy membership functions for each QI. Finally, an objective evaluation framework for CPE is proposed.
KW - Consultant performance evaluation
KW - Fuzzy membership functions
KW - Modified horizontal approach
KW - Quantitative indicators
KW - Quantitative requirements
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84861064598&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0902896938
SN - 9780902896932
VL - 2
T3 - Association of Researchers in Construction Management, ARCOM 2005 - Proceedings of the 21st Annual Conference
SP - 1015
EP - 1024
BT - Association of Researchers in Construction Management, ARCOM 2005 - Proceedings of the 21st Annual Conference
T2 - 21st Annual Conference on Association of Researchers in Construction Management, ARCOM 2005
Y2 - 7 September 2005 through 9 September 2005
ER -