SELECTION OF OPTIMAL RENEWABLE ENERGY INVESTMENT PROJECT VIA FUZZY ANP
Abstract
Purpose - This study aims to determine the optimal renewable energy investment project providing a guideline to the investors in decision
making process.
Methodology - This study presents a comprehensive and solid mathematical approach considering the assessment of the ambiguities in
the preferences of the decision maker for selection of the optimal renewable energy investment project via fuzzy analytic network process
(FANP). FANP captures vagueness along with uncertainties in the evaluation.
Findings - After FANP method had been implemented for the considered problem, Hydropower with 31% of importance is selected as
optimum renewable energy investment project for the firm.
Conclusion- This study provides a realistic assessment of energy resources and the consideration of the ambiguities presented in the
preferences of the decision maker
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
July 13, 2018
Submission Date
April 22, 2018
Acceptance Date
-
Published in Issue
Year 2018 Volume: 5 Number: 2