A multi-granular linguistic distribution-based group decision making method for renewable energy technology selection

2021 ◽  
pp. 108379
Author(s):  
Yingying Liang ◽  
Yanbing Ju ◽  
Luis Martínez ◽  
Peiwu Dong ◽  
Aihua Wang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Group Decision Making ◽  
Group Decision ◽  
Technology Selection ◽  
Energy Technology ◽  
Renewable Energy Technology

scholarly journals Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach

2018 ◽  
Vol 10 (12) ◽  
pp. 4481 ◽  
Author(s):  
Abteen Ijadi Maghsoodi ◽  
Arta Ijadi Maghsoodi ◽  
Amir Mosavi ◽  
Timon Rabczuk ◽  
Edmundas Zavadskas
Keyword(s):  
Renewable Energy ◽  
Complex Problem ◽  
Development Project ◽  
Selection Problem ◽  
Technology Selection ◽  
Ratio Analysis ◽  
Energy Technology ◽  
Renewable Energy Technology ◽  
Multiple Attribute ◽  
Selection Of

Due to the adaptation of recent pollution mitigation and justification policies there has been a growing trend for electricity generation from various renewable resources. The selection of the optimal renewable energy technology could be measured as a complex problem due to the complication of forthcoming circumstances in any country. Consequently, the proposed similar complex assessment problem can be tackled with the support of Multiple Attribute Decision Making (MADM) methods. The current research study investigates a technology selection problem by proposing a hybrid MADM approach based on the Step-Wise Weight Assessment Ratio Analysis (SWARA) approach with a hierarchical arrangement combined with the Multi-Objective Optimization on the basis of Ratio Analysis plus the full MULTIplicative form (MULTIMOORA). Ultimately, a conceptual case study regarding the selection of the optimal renewable energy technology based on a conceptual development project in Iran has been examined by the proposed combinative MADM methodology.

Sign in / Sign up

Export Citation Format

Share Document