Einstein Aggregators on Picture Fuzzy Sets for Evaluating Competencies in Blueprint Reading

International Journal of Sociotechnology and Knowledge Development, Journal Year: 2025, Volume and Issue: 16(1), P. 1 - 22

Published: Jan. 3, 2025

This work highlights an evaluation of blueprint reading competencies among university students, with particular attention to common and core competencies. Recognizing the ambiguity imprecision arising from such evaluation, Einstein aggregation operators on picture fuzzy sets were adopted model judgments participants derived a pool mechanical technology students. Results reveal students' competency level for each pre-identified task in reading. Although they display above-average performances, areas requiring enhancement both types are identified. Pathways these findings involve various strategies: conducting separate in-depth study deeper understanding subject matter, incorporating emphasis tasks, introducing competency-based exercises within relevant courses, facilitating industry experts' collaboration. Comparative analysis those intuitionistic Dombi yields similar results.

Language: Английский

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AI-based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities with Spherical Fuzzy Decision Algorithm

IEEE Access, Journal Year: 2025, Volume and Issue: 13, P. 18386 - 18402

Published: Jan. 1, 2025

Language: Английский

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Evaluating Physical Education Quality in Higher Education Using a Picture Fuzzy Decision Framework with Muirhead Mean Operator and MULTIMOORA Method

IEEE Access, Journal Year: 2025, Volume and Issue: 13, P. 18277 - 18293

Published: Jan. 1, 2025

Language: Английский

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Selecting a Robust and Efficient Heterogeneous Network in 5G by Utilizing Complex Picture Fuzzy Yager Aggregation Operators

Iranian Journal of Science and Technology Transactions of Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 5, 2025

Language: Английский

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Picture fuzzy soft set TAOV approach for material selection for cryogenic storage tank for liquid nitrogen transportation

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 8, 2025

Language: Английский

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Development of Aczel-Alsina t-norm Based Linear Diophantine Fuzzy Aggregation Operators and their Applications in Multi-Criteria Decision-Making with Unknown Weight Information

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e35942 - e35942

Published: Aug. 1, 2024

Aczel-Alsina t-norm and t-conorm are intrinsically flexible endow aggregation operators with greater versatility robustness in the process than rooted other t-norms families. Moreover, linear Diophantine fuzzy set (LD-FS) is one of resilient extensions sets (FSs), intuitionistic (IFSs), Pythagorean (PyFSs), q-rung orthopair (q-ROFSs), which has acquired prominence decision analysis due to its exceptional efficacy resolving ambiguous data. Keeping view advantages both LD-FSs operators, this article aims establish operation rules for LD-FSs, such as sum, product, scalar multiplication, exponentiation. Based on these rules, we expose weighted average (LDFAAWA) operator, geometric (LDFAAWG) operator scrutinize their distinctive characteristics results. Additionally, based (AOs), a multi-criteria decision-making (MCDM) approach designed tested practical case study related forecasting weather under an LD-FS setting. The developed model undergoes comparative several prevailing approaches demonstrate superiority accuracy proposed model. Besides, influence parameter Λ ranking order successfully highlighted.

Language: Английский

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A picture fuzzy multi-attribute decision-making approach based on Hamacher Muirhead mean operators

Granular Computing, Journal Year: 2024, Volume and Issue: 9(3)

Published: June 8, 2024

Language: Английский

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MultiFuzzTOPS: A Fuzzy Multi-Criteria Decision-Making Model Using Type-2 Soft Sets and TOPSIS

Symmetry, Journal Year: 2024, Volume and Issue: 16(6), P. 655 - 655

Published: May 25, 2024

Effective and optimal decision-making can enhance system performance, potentially leading to a positive reputation financial gains. Multi-criteria (MCDM) is an important research topic widely applied practical problems. Using the basic idea of symmetry balance arrangement where elements or features have equality similarity in distribution, MCDM provides robust decisions such multi-dimensional complex issues. This study proposes MultiFuzzTOPS, model deal with complexity multi-criteria decision-making. The proposed MultiFuzzTOPS leverages fuzzy logic soft sets as type-2 (T2SS) technique for order preference by ideal solution (TOPSIS) We validate implementing it solve pesticide selection problem food science considering various criteria pesticides. Our recommends best compared its counterparts because covers maximum information alternative. Results are ranked on basis Hamming distance coefficient. also effectiveness performing sensitivity analysis, validation shows reliability our model.

Language: Английский

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Aggregation operators based on Einstein averaging under q-spherical fuzzy rough sets and their applications in navigation systems for automatic cars

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34698 - e34698

Published: July 20, 2024

This study introduces innovative operational laws, Einstein operations, and novel aggregation algorithms tailored for handling q-spherical fuzzy rough data. The research article presents three newly designed arithmetic averaging operators: weighted averaging, ordered hybrid averaging. These operators are meticulously crafted to enhance precision accuracy in By thoroughly examining their characteristics interrelations with existing aggregate operators, the uncovers distinct advantages contributions field. Furthermore, illustrates actual implementation of these constructed a variety attribute decision-making scenarios employing q-SFR data, yielding useful insights. Our suite tools, including is specifically address complex uncertain To validate our approach, this offers numerical example showcasing real-world applicability proposed operators. results not only corroborate efficacy method but also underscore its potential significance practical processes dealing intricate ambiguous Additionally, comparative sensitivity analyses presented assess effectiveness robustness work relative other approaches. acquired knowledge enriches current understanding opens new avenues future research.

Language: Английский

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Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology

Cognitive Computation, Journal Year: 2024, Volume and Issue: 16(6), P. 3122 - 3148

Published: Aug. 21, 2024

Language: Английский

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