| Article ID: | iaor20072533 |
| Country: | Netherlands |
| Volume: | 42 |
| Issue: | 1 |
| Start Page Number: | 25 |
| End Page Number: | 35 |
| Publication Date: | Oct 2006 |
| Journal: | Decision Support Systems |
| Authors: | Royes Gleiber Fernandes, Bastos Rogrio Cid |
| Keywords: | fuzzy sets, time series & forecasting methods, politics |
Medicine, engineering, and finance are traditional fields for the application of Fuzzy Logic (FL); however, in social sciences, the utilization of FL can be intensely explored as a valuable analysis instrument. Joining fuzzy with Multiple Criteria Decision Making, the natural complex and uncertain criteria of social problems can be adequately explored. A suitable uncertainty analysis is the focal point in the social field. In this direction, an intelligent computational method for election forecasting is proposed as a practical result of this research. The main objective is to present a more flexible methodology for political assessment comparing to traditional methods.