Abstract
The analytic hierarchy process (AHP) has been widely applied to solve problems arising in group decision making, by synthesising different or conflicting judgements. However, directly synthesising conflicting judgements by calculating the geometric mean of preference weights (ratios) in AHP may not reach consensus from all members in a decision making group, especially, when those members represent the stakeholders of the decision making problem. This study proposes a new method that uses the genetic algorithm and utility function to synthesise preference weights to prevent this fallacy occurring when implementing the classical AHP approach. Using the proposed method, the final decision can be achieved with only minimally-adjusted preference weights.
| Original language | English |
|---|---|
| Pages (from-to) | 867-873 |
| Number of pages | 7 |
| Journal | Journal of the Operational Research Society |
| Volume | 50 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 1999 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Management Information Systems
- Strategy and Management
- Management Science and Operations Research
- Marketing
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A modified procedure for synthesising ratio judgements in the analytic hierarchy process. / Yeh, J. M.; Lin, Chinho; Kreng, B.; Gee, J. Y.
In: Journal of the Operational Research Society, Vol. 50, No. 8, 01.01.1999, p. 867-873.Research output: Contribution to journal › Article
TY - JOUR
T1 - A modified procedure for synthesising ratio judgements in the analytic hierarchy process
AU - Yeh, J. M.
AU - Lin, Chinho
AU - Kreng, B.
AU - Gee, J. Y.
PY - 1999/1/1
Y1 - 1999/1/1
N2 - The analytic hierarchy process (AHP) has been widely applied to solve problems arising in group decision making, by synthesising different or conflicting judgements. However, directly synthesising conflicting judgements by calculating the geometric mean of preference weights (ratios) in AHP may not reach consensus from all members in a decision making group, especially, when those members represent the stakeholders of the decision making problem. This study proposes a new method that uses the genetic algorithm and utility function to synthesise preference weights to prevent this fallacy occurring when implementing the classical AHP approach. Using the proposed method, the final decision can be achieved with only minimally-adjusted preference weights.
AB - The analytic hierarchy process (AHP) has been widely applied to solve problems arising in group decision making, by synthesising different or conflicting judgements. However, directly synthesising conflicting judgements by calculating the geometric mean of preference weights (ratios) in AHP may not reach consensus from all members in a decision making group, especially, when those members represent the stakeholders of the decision making problem. This study proposes a new method that uses the genetic algorithm and utility function to synthesise preference weights to prevent this fallacy occurring when implementing the classical AHP approach. Using the proposed method, the final decision can be achieved with only minimally-adjusted preference weights.
UR - http://www.scopus.com/inward/record.url?scp=0033241757&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033241757&partnerID=8YFLogxK
U2 - 10.1057/palgrave.jors.2600768
DO - 10.1057/palgrave.jors.2600768
M3 - Article
VL - 50
SP - 867
EP - 873
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
SN - 0160-5682
IS - 8
ER -