Monte Carlo approach to fuzzy AHP risk analysis in renewable energy construction projects.

ABSTRACT: The construction of large renewable energy projects is characterized by the great uncertainties associated with their administrative complexity and their constructive characteristics. For proper management, it is necessary to undertake a thorough project risk assessment prior to construction. The work presented in this paper is based on a hierarchical risk structure identified by a group of experts, from which a Probabilistic Fuzzy Sets with Analysis Hierarchy Process (PFSAHP) was applied. This probabilistic analysis approach used expert opinion based on the Monte Carlo Method that allows for extracting more information from the original data. In addition, the coherence of the experts' opinions is assessed using a novel parameter known as Confidence Level, which allows for adjusting the op

SUBMITTER: Serrano-Gomez L 

PROVIDER: S-EPMC6563964 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature