Title: An ordered weighted averaging operator-based cumulative belief degree approach for energy policy evaluation
Authors: Da Ruan; Özgür Kabak; Rolando Quinones
Addresses: Unit of Society and Policy Support, Belgian Nuclear Research Centre (SCK•CEN), Boeretang 200, 2400 Mol, Belgium; Department of Applied Mathematics and Computer Science, Gent University, 9000 Gent, Belgium ' Industrial Engineering Department, Istanbul Technical University, Macka, 34367 Istanbul, Turkey ' Faculty of Electronic and Biomedical Engineering, Antonio Narino University, Cra. 58A No. 37-94, 111321, Bogota D.C., Colombia
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.
Keywords: energy policy evaluation; ordered weighted averaging; cumulative belief degree; human perception; fuzzy sets; decision support systems; DSS; operations management; sustainability; uncertainty; information processing.
International Journal of Advanced Operations Management, 2013 Vol.5 No.1, pp.58 - 73
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 05 Jan 2013 *