Cited by Decision-making technique with neutrosophic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e5224" altimg="si1.svg"><mml:mi>Z</mml:mi></mml:math>-rough set approach for sustainable industry evaluation using sine trigonometric operators

Continuous Pythagorean Fuzzy Set Extension with Multi-Attribute Decision Making Applications DOI

Nurşah Alkan, Cengiz Kahraman

Informatica, Год журнала: 2025, Номер unknown, С. 1 - 43

Опубликована: Янв. 1, 2025

One of the most recent innovations in field fuzzy sets has been continuous intuitionistic (CINFUSs), where membership and non-membership degrees are defined by nonlinear functions, as a direct extension (IFSs). The CINFUSs can account for uncertainty at every point since they represented structures that change based on how decision-maker responds to uncertainty. On other hand, Pythagorean (PFSs) allow more accurate representation data better way handle decision issues reflecting hesitations decision-makers over larger range. Due these superior advantages fact PFSs comprehensive than IFSs, this study, (CPFUSs) have aimed introducing define broadly accurately representing with structure IFSs. In firstly, basic principles mathematical operators CPFUSs developed presented. Then, multi-attribute decision-making (MADM) models considering different aggregation indicate feasibility effectiveness (CPFU) extension. CPFU-MADM implemented solution two problems: green supplier selection waste disposal site problems. addition, sensitivity analyses conducted criterion weights, expert weights parameters order demonstrate reliability stability models. Furthermore, validity superiority indicated comparative analysis IFSs PFSs-based MADM literature. applications shown successfully represent decisions attitudes within same model. It observed rankings alternatives according do not even when there differences score values alternatives.

Язык: Английский

Процитировано

An Assessment of Circular Economy-Oriented Renewable Energy Projects via Artificial Intelligence Recommender Systems and a Hybrid Quantum Fuzzy Decision-making Approach DOI

Muhammad Shahbaz, Hasan Dınçer, Serhat Yüksel

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122673 - 122673

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets DOI

Hasan Dınçer, Serhat Yüksel, Gábor Pintér

и другие.

Blockchain Research and Applications, Год журнала: 2024, Номер 5(4), С. 100230 - 100230

Опубликована: Авг. 15, 2024

Significant improvements should be made to increase the market potential of crypto mining. However, it is not financially feasible make too many because all actions lead cost increases. In this context, necessary determine factors that most affect process. Accordingly, purpose study understand main indicators improve mining activities. Therefore, research question identify which prioritized while generating appropriate strategies these a new model has been constructed answer question. First, significant are identified based on literature evaluation. After that, weighted via quantum picture fuzzy rough set-based M-SWARA. The contribution generation decision-making key issues related M-SWARA taken into consideration for criteria weighting. Owing issue, causal relationships between items can identified. findings demonstrate reducing energy costs emerges as important factor improving industry. Furthermore, technological developments also play an role in regard.

Язык: Английский

Процитировано

Analyzing blockchain-based waste management investments in smart cities using quantum picture fuzzy rough modelling DOI