A Partial Order OWA Operator for Solving the OWA Weighing Dilemma

Prior weights are necessary for the application of ordered weighted averaging (OWA) operators, but obtaining them is expensive and contentious, which restricts operators. To address weighting issue, weight space used to “replace” conventional vector, operator comparison then extended a partial order on space. The results show that OWA can be as long clear, is, there no need take accurate values. evaluation result represented by Hasse diagram. retains properties operator, running cost low. It seen from example solves time problem. compare, sort, optimize data using graph, it also implement hierarchical clustering. have strong robustness.