A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies

Oflaz, Fikret; Yüksel, Serhat; Dinçer, Hasan; Eti, Serkan

doi:10.1016/j.dajour.2023.100345

Decision Analytics Journal

2023

DOI: 10.1016/j.dajour.2023.100345

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A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies

Fikret Oflaz,

Serhat Yüksel,

Hasan Dinçer

et al.

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2024

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Cited by 4 publications

References 45 publications

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Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling

Kou,

Eti,

Yüksel

et al. 2024

Artif Intell Rev

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Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling

Kou,

Eti,

Yüksel

et al. 2024

Artif Intell Rev

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Optimizing Investment Selection Through Similarity Measurement with Type-2 Intuitionistic Fuzzy Sets

Annapurna,

Sireesha

2024

SN COMPUT. SCI.

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Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making

Dinçer,

Yüksel,

Eti

et al. 2024

Waste Manag Res

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Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective waste management strategies in the service industry. For this purpose, a novel fuzzy decision-making model is proposed that has two different stages. In this context, six JCI-based indicators are weighted by using sine trigonometric fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology. Additionally, a comparative evaluation has also been conducted with sine trigonometric fuzzy Criteria Importance Through Intercriteria Correlation (CRITIC) technique to check the reliability of the findings. On the other hand, five different strategy alternatives are selected by considering the principles of the integrated waste management hierarchy approach. These items are evaluated by considering sine trigonometric fuzzy Technique for Order Preference by Similarity (TOPSIS). On the other side, these factors are also ranked with the help of sine trigonometric fuzzy Additive Ratio Assessment (ARAS) to test the consistency of the results. The main contribution is that prior strategies can be presented to the hospitals to have appropriate waste management process by defining the most important factors. Criteria weighting and alternative ranking results are the same in all combinations. Therefore, it is seen that the proposed model creates coherent and consistent results. It is defined that efficient storage of waste is the key issue to have effective waste management process. Moreover, ‘reduce’ is found as the most critical stage of this process.

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A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies

Cited by 4 publications

References 45 publications

Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling

Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling

Optimizing Investment Selection Through Similarity Measurement with Type-2 Intuitionistic Fuzzy Sets

Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making

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