Some bipolar-preferences-involved aggregation methods for a sequence of OWA weight vectors

The ordered weighted averaging (OWA) operator and its associated weight vectors have been both theoretically practically verified to be powerful effective in modeling the optimism/pessimism preference of decision makers. When several different OWA are offered, it is necessary develop certain techniques aggregate them into one vector. This study firstly details motivating examples show necessity usefulness merging those vectors. Then, by applying general method for aggregating operators proposed a recent literature, we specifically elaborate use aggregation merge themselves. Furthermore, generalize normal degree unit interval sequence introduce subsequently with given sequences. Detailed steps related procedures corresponding numerical also provided current study.