Collaboration enhanced hybrid fuzzy decision-making approach to analyze the renewable energy investment projects
TLDR
In this paper , a hybrid model based on Pythagorean fuzzy DEMATEL, TOPSIS and Shapley value to find appropriate policies to improve low-carbon renewable energy projects is presented.About:
This article is published in Energy Reports.The article was published on 2022-11-01 and is currently open access. It has received 71 citations till now. The article focuses on the topics: Weighting & Renewable energy.read more
Citations
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Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives
TL;DR: In this article , the levelized cost of renewable energy (RWG) alternatives is investigated by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach.
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Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut
TL;DR: In this article , a coalition-oriented strategic selection of renewable energy system alternatives is proposed to increase the effectiveness of the hybrid energy investments by using coalition game theory and multi stepwise weight assessment ratio analysis (M-SWARA).
Journal ArticleDOI
Strategy improvements to minimize the drawbacks of geothermal investments by using spherical fuzzy modelling
TL;DR: In this paper , a model is suggested by considering the Spherical fuzzy DEMATEL technique to evaluate the significant risks in geothermal energy investments, and eight important risks are identified for these projects.
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Analysis of renewable-friendly smart grid technologies for the distributed energy investment projects using a hybrid picture fuzzy rough decision-making approach
TL;DR: In this article , the authors evaluated renewable-friendly smart grid technologies regarding distributed energy investment projects by using a hybrid picture fuzzy rough decision-making approach, where selected criteria are weighted using the multi-stepwise weight assessment ratio analysis (M-SWARA) method based on Picture Fuzzy Rough Sets (PFRSs).
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Golden Cut-Oriented Q-Rung Orthopair Fuzzy Decision-Making Approach to Evaluation of Renewable Energy Alternatives for Microgeneration System Investments
TL;DR: In this article , a model is constructed by multi stepwise weight assessment ratio analysis (M-SWARA) and technique for order preference by similarity to ideal solution (TOPSIS) with q-rung orthopair fuzzy sets (q-ROFSs) and golden cut.
References
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