An ordered weighted averaging operator-based cumulative belief degree approach for energy policy evaluation

Abstract

In the context of a long-term for sustainable energy policy development, a set of interlinked decisions produces a process as a strategy. An ordered weighted averaging operator-based cumulative belief degree approach is proposed for a case-study of energy policy evaluation. The approach is realised in a developed software tool called advanced uncertain information processing tool (AdUnIT) for the case study. The tool can be flexibly used to solve other related policy evaluation problems.