Prioritizing sustainable electricity production technologies: MCDM approach
By Dalia Streimikiene, Tomas Balezentis, I. Kriščiukaitienė, Alvydas Balezentis. 2012
286 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/214004269e098298737bda75c63f380fecedca95
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
In Environmental Engineering
- Abbas Mardani
- Edmundas Kazimieras Zavadskas
- Dragan Pamucar
- Željko Stević
- Mirko Stojčić
- Dalia Streimikiene
- Zenonas Turskis
In Management Science and Operations Research
- Edmundas Kazimieras Zavadskas
- Abbas Mardani
- Jurgita Antucheviciene
- Ahmad Jusoh
- Norhayati Zakuan
- Dalia Streimikiene
- Željko Stević
- Seyed Hossein Razavi Hajiagha
Citations in the corpus
- The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering (2015, methodology): “The robustness of the method has been proved [47] and it has been successfully applied to evaluate decisions by using a single approach or its combinations with other MADM methods, such as TOPSIS [48] and WASPAS [49, 50].”
- A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 (2017, background): “In many energy management problems, a number of criteria and/or objectives have been considered, leading to the development of multiple criteria and objectives decision-making approaches [24].”
- Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008-2018 (2019, methodology): “[119], the selection between several alternative technologies for the sustainable production of electricity can be performed with the MULTIMOORA and TOPSIS methods (Barros et al.”
- An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues (2018, background): “[62] have developed a decision-making system to identify the most sustainable technologies for electricity production.”