Analyzing Swiss Energy Policy Through a Fuzzy BWM-PROMETHEE Approach: A Socio-Political Multi-criteria Decision Analysis

He Huang (), David J. Metzger (), Eleftherios Siskos () and Peter Burgherr ()
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He Huang: Paul Scherrer Institut
David J. Metzger: Paul Scherrer Institut
Eleftherios Siskos: Paul Scherrer Institut
Peter Burgherr: Paul Scherrer Institut

Chapter Chapter 1 in Advances in Best–Worst Method, 2025, pp 1-21 from Springer

Abstract: Abstract In the context of the global transition to sustainable energy solutions, Switzerland is actively pursuing goals of climate neutrality and enhanced energy security. Energy policies play a key role in navigating the country’s transition to renewable energy. While these policies have been extensively analyzed in Switzerland, the socio-political dimensions often receive less attention. However, it is these multifaceted socio-political criteria that have a significant impact on the effectiveness of energy policies. This paper explores the Swiss energy policy landscape using a hybrid Multi-Criteria Decision Analysis (MCDA) framework that ingeniously integrates the Fuzzy Best-Worst Method (BWM) with PROMETHEE II to provide a comprehensive policy evaluation tool. The study examines a set of fifteen different energy policy alternatives and assesses their potential to advance Switzerland’s transition to renewable energy. By engaging with experts to identify policy preferences, the analysis aims to unravel the socio-political nuances that underpin energy policy preferences. This in-depth assessment sheds light on the complex challenges and opportunities facing Switzerland as it moves toward a sustainable energy paradigm.

Keywords: Multi-criteria decision analysis; Policy analysis; Energy; Fuzzy logic (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-76766-1_1

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DOI: 10.1007/978-3-031-76766-1_1

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