A hybrid Model Using MCDM Methods and Bipolar Neutrosophic Sets for Select Optimal Wind Turbine: Case Study in Egypt

Abstract

The wind turbine selection problem is important for countries under change of climate and global
warming. The importance wind turbine has increased due to toward countries used the renewable energy.
The information of selection wind turbines is often vague and imprecise. Therefore, this paper develops a
methodology for wind turbines selection problem based on neutrosophic information. Bipolar
neutrosophic sets (BNSs) is a very common tool for performing potentially uncertain information provided
by experts and decision makers. So, the BNSs is a useful for dealing with uncertain complex situations. The
wind turbine is contain the different and conflict criteria. Thus, the concept of multi-criteria decision
making (MCDM) is used. This paper used MCDM method for selection wind turbine problem. First. Used
the entropy weight to calculate the weights of criteria. Then the Weighted sum method (WSM),
visekriterijumsko kompromisno rangiranje (VIKOR), Technique for Order of Preference by Similarity to
Ideal Solution (TOPSIS), Evaluation based on Distance from Average Solution (EDAS) are used to select
best turbine. The case study in Egypt is provided. The comparative analysis is done to test the reliability of
the proposed methodology. Finally the sensitivity analysis is performed.