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Selection of the Most Appropriate Renewable Energy Alternatives by Using a Novel Interval-Valued Neutrosophic ELECTRE I Method
Volume 31, Issue 2 (2020), pp. 225–248
Ali Karaşan   Cengiz Kahraman  

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https://doi.org/10.15388/20-INFOR388
Pub. online: 26 March 2020      Type: Research Article      Open accessOpen Access

Received
1 January 2019
Accepted
1 February 2020
Published
26 March 2020

Abstract

Today energy demand in the world cannot be met based on the growing population of the countries. Exhaustible resources are not enough to supply this energy requirement. Furthermore, the pollution created by these sources is one of the most important issues for all living things. In this context, clean and sustainable energy alternatives need to be considered. In this study, a novel interval-valued neutrosophic (IVN) ELECTRE I method is conducted to select renewable energy alternative for a municipality. A new division operation and deneutrosophication method for interval-valued neutrosophic sets is proposed. A sensitivity analysis is also implemented to check the validity of the proposed method. The obtained results and the sensitivity analysis demonstrate that the given decision in the application is robust. The results of the proposed method determine that the wind power plant is the best alternative and our proposed method’s decisions are consistent and reliable through the results of comparative and sensitivity analyses.

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Biographies

Karaşan Ali
akarasan@yildiz.edu.tr

A. Karasan is a research assistant at Yildiz Technical University in the Industrial Engineering Department. He received his BS degree in industrial engineering from the same university in 2013, and the MS degree in industrial engineering from the Istanbul Technical University in 2016. He is currently working toward the PhD degree in industrial engineering at the Istanbul Technical University. His research areas are decision making under uncertain environments, fuzzy sets and their extensions, multi-criteria decision-making methods, occupational health and safety analysis, and fuzzy inference system. He has several publications in the mentioned areas.

Kahraman Cengiz

C. Kahraman is a full professor at Istanbul Technical University. His research areas are engineering economics, quality control and management, statistical decision-making, multi-criteria decision-making and fuzzy decision making. He published more than 500 journal papers and about 160 conference papers. He became the guest editor of many international journals and the editor of many international books from Springer and Atlantis Press. He is the member of editorial boards of 20 international journals. He organized various international conferences. He was the vice dean of ITU Management Faculty between 2004–2007 and the head of ITU Industrial Engineering Department between 2010–2013.


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interval-valued neutrosophic sets ELECTRE I multi-criteria decision making renewable energy

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