Name
Abstract | ||
|---|---|---|
In the group decision-making process, consensus is an important indication of group agreement or reliability. Traditional methods to measure consensus refer mostly to gauging variance among the participants' opinions by transforming them into numbers in the interval scale. In this study we propose a value-based measure, in which verbal opinions are transformed into values by means of value functions. To understand how the proposed method performs, we conduct two experiments to compare its performance with the variance-based methods and the entropy measure. The results show that our method is appropriate to account for participants' consensus judgments based on verbal opinions. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/HICSS.2005.669 | HICSS |
Keywords | Field | DocType |
traditional method,entropy measure,group agreement,variance-based method,value-based consensus measure,verbal opinion,verbal opinions,group decision-making process,important indication,value-based measure,consensus judgment,value function,information management,information theory,group decision making,robustness,entropy,probability distribution | Information theory,Information management,Computer science,Knowledge management,Robustness (computer science),Probability distribution,Management science,Interval Scale | Conference |
ISBN | Citations | PageRank |
0-7695-2268-8-1 | 1 | 0.35 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Feng Hsiao | 1 | 44 | 4.94 |
| Hsin-Hui Lin | 2 | 767 | 30.86 |
| Te-Ming Chang | 3 | 16 | 2.76 |