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3457. Evaluating Sustainability in Renewable Energy Systems: Introducing a Novel Fuzzy Multi-Criteria Distance to Ideal Solution Approach
Invited abstract in session WB-47: MCDA in energy, stream Multiple Criteria Decision Analysis.
Wednesday, 10:30-12:00Room: 50 (building: 324)
Authors (first author is the speaker)
| 1. | Sepehr Hendiani
|
| School of Business and Economics, Chair of Operations Management, RWTH Aachen University | |
| 2. | Grit Walther
|
| School of Business and Economics, Chair of Operations Management, RWTH Aachen University |
Abstract
Sustainable development strongly requires a shift away from fossil fuel-based energy systems and toward ones that rely on renewable resources. It is well recognized that the first step in improving sustainability is to evaluate the current degree of sustainability. This research proposes a unique approach for assessing the existing level of sustainability through renewable energy systems (RESs) using multi-expert multi-criteria decision-making based on a distance to ideal solution method under interval type-2 fuzzy information. The proposed method highlights underperforming sustainability components according to the linguistic data collected from experts, which helps decision-makers identify the obstacles to sustainable growth. The proposed approach may make it easier to create global sustainable development policies and plans that are more successful. This may be achieved via improving the quality of experts' linguistic assessments and by offering a thorough grasp of the sustainability of RES around the globe.
Keywords
- Fuzzy Sets and Systems
- Decision Analysis
- Sustainable Development
Status: accepted
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