Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection

International Journal of Intelligent Systems, Journal Year: 2021, Volume and Issue: 37(3), P. 2612 - 2647

Published: Dec. 28, 2021

Uncertainty is often occurred in real-life decision-making problems due to the lack of complete information, imprecise data, and vagueness decision making experts qualitative judgment, thus, crisp values criteria may be insufficient handle such types complex real situations. As extension fuzzy set, intuitionistic set Pythagorean Fermatean Fuzzy Set (FFS) has been demonstrated as a powerful tool uncertainty arisen practical problems. Thus, this study aims introduce an integrated information-based method by combining based on removal effects (MEREC) additive ratio assessment (ARAS) methods with application food waste treatment technology selection problem. By using numbers, suggested approach successfully data uncertain information that occur This consists four phases. First, entropy measure developed for FFS further utilized determining experts' weights. Second, some Heronian mean operators their properties are introduced aggregate information. These can provide us valuable means multicriteria FFSs context. Third, extended MEREC technique originated assess objective weights within Fourth, ARAS combination proposed measure, generalized weighted operator evaluate rank alternatives. To confirm reasonableness practicality methodology, empirical case discussed settings. Further, comparison extant models sensitivity investigation performed validity robustness obtained outcomes.

Language: Английский

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Picture fuzzy aggregation approach with application to third-party logistic provider selection process

Reports in Mechanical Engineering, Journal Year: 2022, Volume and Issue: 3(1), P. 318 - 327

Published: June 25, 2022

Picture fuzzy sets (PFSs) are frequently composed of positive, neutral, and negative memberships have the benefit precisely capturing preferences decision makers (DMs). This paper introduces innovative picture aggregation operators (AOs) based on fundamental operations, which a number advantages when dealing with real-world scenarios. Unpredictability fuzziness coexist in decision-making analysis due to complexity environment. ”Picture numbers” (PFNs) outperform ”intuitionistic (IFNs) unclear input. study proposes two (AOs): ”picture hybrid weighted arithmetic geometric (PFHWAGA) operator” ordered (PFHOWAGA) operator.” The proposed current PFN-defined operators. operator is utilised multi-criteria (MCDM) process third-party logistic provider selection.

Language: Английский

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MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center

Engineering Applications of Artificial Intelligence, Journal Year: 2022, Volume and Issue: 116, P. 105401 - 105401

Published: Sept. 16, 2022

Language: Английский

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Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 138, P. 110170 - 110170

Published: March 8, 2023

The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria problem in visibility (SCV) and resource integration (SCRI) for improving data analytics capabilities achieving sustainable performance (SP). It is considered a decision-making (MCDM) due to three main concerns, namely, Agri4SC evaluation including SCV, SCRI SP criteria. These have relative importance trade-offs. Despite tremendous efforts over last years, none developed Agri4SCs met all essential Another concern raised uncertainty experts. Thus, contribution this research propose an framework SCV based on extension proposed Fermatean probabilistic hesitant fuzzy sets (FPHFSs) MCDM methods. methodology process divided into six parts. Firstly, decision matrix formulated intersection alternatives cover issues. Secondly, novel FPHFSs are along with their operational laws, score function, accuracy average mean operator weighted operator. FPHFS can encompass more sophisticated uncertain information. Thirdly, zero inconsistency assign weights Fourthly, by opinion method (FPH-FDOSM) used that were evaluated subjectively Fifthly, FPH-FDOSM-based multi attributive ideal-real comparative analysis (MAIRCA) scoring equal probabilities economic, environmental social factors. Lastly, MAIRCA ranking unequal introduced benchmark objectively subcriteria trade-offs amongst identified robustness reliability results tested via sensitivity Spearman's correlation coefficient.

Language: Английский

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Identifying sustainable strategies for electronic waste management utilizing confidence-based group decision-making method in interval valued Fermatean fuzzy environment

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 135, P. 108701 - 108701

Published: June 3, 2024

Language: Английский

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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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New complex proportional assessment approach using Einstein aggregation operators and improved score function for interval-valued Fermatean fuzzy sets

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 169, P. 108165 - 108165

Published: April 10, 2022

Language: Английский

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Multiattribute decision making based on Fermatean hesitant fuzzy sets and modified VIKOR method

Information Sciences, Journal Year: 2022, Volume and Issue: 607, P. 1532 - 1549

Published: June 16, 2022

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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Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 211, P. 118497 - 118497

Published: Aug. 24, 2022

Language: Английский

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