A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM

- The amount of information of an IFS is characterized by the closeness degree.
- The area of triangle is calculated to measure reliability of information of an IFS.
- It is proved that the closeness degree and triangle area just form an interval.
- A novel risk attitudinal measure is developed to rank IFS by C-OWA operator.
- Attributes weights are derived by constructing multi-objective fractional programming model.