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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. [ABSTRACT FROM AUTHOR]

Blockchain technology (BT) has become popular in the firms in the present time, however, implementation of BT includes several risk factors from various points of view. Some of these risks can be serious for the processes of firms. These risks should be cautiously recognized and analyzed to reduce the negative impacts of them. Assessment of the risks can be recognized as a multi-criteria decision making (MCDM) problem. In this work, the risks that will occur when implementing BT are assessed by using MCDM methodology built on Single Valued Neutrosophic Sets (SVNSs), Analytic Hierarchy Process (AHP), and Decision Making and Trial Evaluation Laboratory (DEMATEL) methods. The main and subcriteria risks are collected via a company in the smart village in Egypt and from previous research, hence, the hierarchical form of the problem is built. AHP is used to show the importance of risk factors and the relationships between risk factors obtained by using the DEMATEL method. The main goal of this study is to aid the firms mainly and the firm in Egypt especially to determine which risks are more serious and to which of them causing effect and are being affected. In this study 8 main criterion and 28 sub-criteria, risks are used. As result, the security risk is important in the main risks but energy costs and data leaks are important in sub risks. [ABSTRACT FROM AUTHOR]