Yazar "Meng, Yue" seçeneğine göre listele

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    A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects
    (Springer Science and Business Media Deutschland GmbH, 2021) Meng, Yue; Wu, Haoyue; Zhao, Wenjing; Chen, Wenkuan; Di?nçer, Hasan; Yüksel, Serhat
    This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects. In this framework, a new model has been generated by considering the consensus-based group decision-making with incomplete preferences, Pythagorean fuzzy decision-making trial and evaluation laboratory (DEMATEL) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I. Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases. The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model. By considering the iteration technique and consensus-based analysis, the missing parts in the evaluations can be completed and opposite opinion problems can be reduced. Furthermore, with the help of hybrid MCDM model by combining DEMATEL and TOPSIS, more objective results can be reached. It is concluded that the analysis results are coherent and reliable. The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives. On the other side, the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative. Additionally, it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects. In this way, it will be possible to provide a continuous resource for clean energy investment projects. On the other hand, by providing financing with equity, there will be no fixed financing cost for clean energy investors. If these investors make a profit, they distribute dividends with the decision of their authorized bodies.
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    Analysis of inventive problem-solving capacities for renewable energy storage investments
    (Elsevier Ltd, 2021) Meng, Yue; Zhou, Ronghua; Dinçer, Hasan; Yüksel, Serhat; Wang, Chong
    The energy storage process becomes very important due to the imbalances in energy supply and demand. Therefore some factors need to be considered to increase the efficiency of the energy storage system, such as cost–benefit analysis and technological improvements. This study aims to examine the inventive problem-solving capacities for renewable energy storage investments. A new model is suggested for this objective by considering fuzzy decision-making methodology. It is concluded that prior action and dynamicity are the most essential capacities of renewable energy storage investments. Additionally, dynamicity plays the most critical role when all factors are considered in renewable energy investment projects in a collaborative manner. Hence, it is recommended that the companies should mainly consider the initial developments of the storage facilities. Moreover, location selection for effective energy storage should also be considered to increase the performance of these investments.
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    TRIZ-based green energy project evaluation using innovation life cycle and fuzzy modelling
    (Institute of Electrical and Electronics Engineers Inc., 2021) Meng, Yue; Dinçer, Hasan; Yüksel, Serhat
    This study evaluates theory of the solution of inventive problems (TRIZ)-based green energy project network based on innovation life cycle. In this context, TRIZ-based combinations are obtained by integer patterns for green energy projects. In the next phase, activity priorities of TRIZ-based principles are measured for green energy projects with Pythagorean fuzzy (PF) technique for order preference by similarity to ideal solution (TOPSIS). Finally, project evaluation review technique (PERT) and PF decision making trial and evaluation laboratory (DEMATEL) approaches are taken into consideration to score the green energy projects based on innovation life cycle using inventive problem-solving principles. TRIZ-based principles are also ranked by using Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Additionally, all calculations have also been made with Spherical fuzzy (SF) sets in addition to the PF sets. It is concluded that the analysis results are quite reliable. The main contribution of this study is that innovative strategies are identified for green energy investment projects with a novel methodology. The findings indicate that dynamicity and transformation of properties play a crucial role in this process. Therefore, green energy investors should closely follow technological developments in this area and the products used in green energy investments should be easily adapted to these developments. Additionally, the principal of prior action should be considered to reduce the costs instead of periodic action. It is obvious that the necessary controls should be made before the project starts to increase the efficiency and productivity.
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    Understanding the innovative developments with two-stage technology S-curve of nuclear energy projects
    (Elsevier Ltd, 2021) Meng, Yue; Dinçer, Hasan; Yüksel, Serhat
    The aim of this study is to evaluate the incremental innovation performance of nuclear energy projects. Within this context, a novel model is generated which consists of two different stages, and large nuclear reactors are taken into consideration. Firstly, the Pythagorean fuzzy DEMATEL is used to weight the phases of technology S-Curve for nuclear energy projects. Moreover, the second stage includes the ranking two-generation technology S-curve with integer patterns for nuclear energy projects. In this framework, the best combinations are selected for innovation life cycle pattern with the integer code series. The findings demonstrate that the nuclear energy companies need to consider the two-generation technology S-Curve because continuous technological developments are occurring for nuclear power generation. It is also determined that aging in the first generation is the most significant period of two-generation technology S-Curve for nuclear energy projects. In this process, critical decisions should be made regarding future technological investments. In addition, the growth phase in the second generation is also important for the effectiveness of the nuclear energy technology. Conducting effective evaluations in these processes will contribute to increasing the efficiency of companies.