Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Expert Systems, Journal Year: 2021, Volume and Issue: 38(8)

Published: July 11, 2021

Abstract The multiple attribute decision‐making models are empowered with the support of fuzzy sets such as intuitionistic, q‐rung orthopair, Pythagorean, and picture sets, also neutrosophic etc. These concepts generate varying representation opportunities for decision‐maker's preferences expertise. Pythagorean Fermatean special cases orthopair set when q = 2 3, respectively. From a geometric perspective, latter provides broader domain than former does. In this study, emerging concept is studied in detail three well‐known multi‐attribute evaluation methods, namely SAW, ARAS, VIKOR extended under environment. manner, decision‐makers will have more freedom specifying their preferences, thoughts, expertise, abovementioned decision approaches be able to handle new type data. applicability propositions shown determining best Covid‐19 testing laboratory which an important topic ongoing global health crisis. To validate proposed benchmark analysis covering results existing set‐based TOPSIS, WPM, Yager aggregation operators presented.

Language: Английский

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A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2021, Volume and Issue: 14(6), P. 6897 - 6918

Published: Nov. 2, 2021

Language: Английский

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IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment

Technology in Society, Journal Year: 2022, Volume and Issue: 71, P. 102100 - 102100

Published: Aug. 25, 2022

Language: Английский

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RISK PRIORITY EVALUATION OF POWER TRANSFORMER PARTS BASED ON HYBRID FMEA FRAMEWORK UNDER HESITANT FUZZY ENVIRONMENT

Facta Universitatis Series Mechanical Engineering, Journal Year: 2022, Volume and Issue: 20(2), P. 399 - 399

Published: July 28, 2022

The power transformer is one of the most critical facilities in system, and its running status directly impacts system's security. It essential to research risk priority evaluation parts. Failure mode effects analysis (FMEA) a methodology for analyzing potential failure modes (FMs) within system various industrial devices. This study puts forward hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, sets (HFSs) are used depict uncertainty evaluation. Then, an improved HFWA (hesitant weighted averaging) operator adopted fuse experts. manner can consider different lengths HFSs support degrees among Next, HFWGA geometric with weights developed determine each FM. method satisfy multiplicative characteristic RPN (risk number) conventional model reflect correlations between indicators. Finally, real example parts given show applicability feasibility proposed framework. Comparison sensitivity studies also offered verify effectiveness assessment approach.

Language: Английский

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Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 347, P. 131239 - 131239

Published: March 9, 2022

E-scooters globally have proven an increasingly popular form of dockless micro-mobility, while also contributing to sustainable urban transportation forms. However, some safety issues arise with e-scooter use in the cities. This study aims propose a decision-making model based on q-rung orthopair fuzzy sets for prioritizing safe operation alternative. The proposed consists two stages: weighting criteria and ranking alternatives. First, logarithmic additive assessment weight coefficients methodology Einstein weighted averaging operator were applied define reference relationships between determine their weights. Second, integrating average Hamacher geometric mean was used rank A fictional case is presented show practicality model. contribution work as decision-support system evaluating strategies, including infrastructure placement, user behavior how e-scooters interact other means, showing that applicability real-world problems.

Language: Английский

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A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 200, P. 117034 - 117034

Published: April 4, 2022

Language: Английский

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An ELICIT information-based ORESTE method for failure mode and effect analysis considering risk correlation with GRA-DEMATEL

Information Fusion, Journal Year: 2023, Volume and Issue: 93, P. 396 - 411

Published: Jan. 13, 2023

Failure mode and effect analysis (FMEA) is one of the most powerful reliability techniques for identifying preventing potential risks across various fields. Current FMEA methods, while effective, still present several shortcomings. For example, using experts’ subjective pairwise comparisons risk factors to determine their weights reduces stability result; different relationships among failure modes are often ignored. To improve performance FMEA, multi-criteria decision-making (MCDM) methods have been employed support evaluation prioritization in recent years. This paper proposes a novel method by exploring MCDM techniques. First, Extended Comparative Linguistic Expressions with Symbolic Translation (ELICIT) utilized generate group assessments under uncertainty. Then, grey relation (GRA) incorporated into trial laboratory (DEMATEL) objectively weight factors. Afterward, traditional ORESTE (organísation, rangement et Synthèse de données relarionnelles (in French)) generalized ELICIT environment prioritize modes, which Besson’s ranking replaced deviation measure more accurate results. Finally, case study electro-mechanical actuators presented illustrate effectiveness proposed method. The results indicate that our approach can express information flexibly, objectively, reasonably.

Language: Английский

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Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information

Information Sciences, Journal Year: 2023, Volume and Issue: 638, P. 118959 - 118959

Published: April 20, 2023

Language: Английский

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Failure mode and effects analysis in consensus-based GDM for surface-guided deep inspiration breath-hold breast radiotherapy for breast cancer under the framework of linguistic Z-number

Information Sciences, Journal Year: 2023, Volume and Issue: 658, P. 120016 - 120016

Published: Dec. 19, 2023

Language: Английский

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A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 19, 2024

Abstract Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose new method aggregating multiple IVq-ROFSs, which easier to understand and implement in the multi-attribute group decision making process compared current aggregation operators. Secondly, paper introduces entropy parameters based on IVq-ROFS, highly flexible due its adjustable parameters. Based this, IVq-ROFS-based attribute weight calculation proposed obtain objective weights of attributes, more reasonable than existing methods. Then, dimensional differences between three compromise scores original Combined Compromise Solution (CoCoSo) method, enhanced are proposed. These obtained by normalizing dependent scores, ensuring that they fall within same range. Finally, novel CoCoSo mothed IVq-ROFS using presented. The adaptable scalable, not limited IVq-ROFS. excellent performance robustness verified sepsis diagnosis applications.

Language: Английский

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