Circular Spherical Fuzzy Sugeno Weber Aggregation Operators: A Novel Uncertain Approach for Adaption a Programming Language for Social Media Platform

IEEE Access, Год журнала: 2023, Номер 11, С. 124920 - 124941

Опубликована: Янв. 1, 2023

This study's major purpose is to highlight circular spherical fuzzy sets, that happens be a prolongation of sets. The primary this research demonstrate the basic operations and theorems structures (C-SFS), which give an effective way for dealing with data ambiguity. Aggregation operators (AOs) play significant role in decision-making, particularly situations where conflicting interests need taken into account. Sugeno-Weber (SW) t-conorm t-norm are employed C-SFS operating rules. study describes detail fundamental criteria utilizing SW t-norms t-conorms, as well their crucial features. Furthermore, presents fully investigates two novel operators, Sugeno Weber weighted averaging (C-SFSWWA) geometric (C-SFSWWG), distinct applications desired properties. A approach based on C-SFSWWA C-SFSWWG suggested address multiple attribute decision-making (MADM) problems C-SF information. numerical example shows how may used adapt programming language social media platform analytics, followed by comparison its advantages. advised successful, according investigation authenticity study. In reality, recommended aggregation quite useful decision analysis.

Язык: Английский

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A hybrid heterogeneous framework for medical waste disposal evaluation by fusing group BWM and regret-rejoice MABAC

Expert Systems with Applications, Год журнала: 2024, Номер 249, С. 123514 - 123514

Опубликована: Фев. 20, 2024

Язык: Английский

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Providing decision-making approaches for the assessment and selection of cloud computing using bipolar complex fuzzy Einstein power aggregation operators

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 129, С. 107650 - 107650

Опубликована: Янв. 16, 2024

Язык: Английский

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T-spherical fuzzy interactive Dubois–Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation

Heliyon, Год журнала: 2024, Номер 10(7), С. e28963 - e28963

Опубликована: Апрель 1, 2024

The concept of T-spherical fuzzy sets (T-SFSs) provides a robust optimization approach to deal with uncertainties in environmental concerns. main objective this paper is introduce hybrid for the power system reforms and advances low-carbon technology address concerns as well transition towards more sustainable energy infrastructure. To meet these objectives, various aggregation operators (AOs) are developed named Dubois-Prade (T-SFDP), interactive weighted average (T-SFIDPWA), ordered (T-SFIDPOWA), geometric (T-SFIDPWG), (T-SFIDPOWG). These AOs integrated construction CRITIC-EDAS framework, facilitating comprehensive assessment ranking proposals. This underscores methodology's efficacy precision through rigorous validation CRITIC-MAUT, CRITIC-ARAS, CRITIC-EDAS, CRITIC-MABAC analyses, showcasing its ability discern prioritize reform initiatives exactitude. Beyond enhancing comprehension proposals, establishes benchmark future evaluations, significantly contributing dynamic landscape optimization. clarity offer decision-makers valuable tool thorough prioritization initiatives, fostering sustainability environmentally conscious advancements.

Язык: Английский

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Decision-making for supplier selection problems based on QUALIFLEX technique using likelihood method in LIVIFS environment

Expert Systems with Applications, Год журнала: 2024, Номер 252, С. 124136 - 124136

Опубликована: Май 9, 2024

The notion of linguistic interval-valued intuitionistic fuzzy set (LIVIFS) is one the best tools in order to deal with qualitative decision making problems. Therefore, this paper a (LIVIF) QUALIFLEX method likelihood-based comparison approach proposed. First, likelihood preference relation (FPRs) compare interval valued numbers (LIVIFNs). By employing criterion-wise assessment alternatives through likelihoods, we introduce novel QUALIFLEX-based model. This model aims quantify degree concordance complete for effective management decisions involving multiple criteria. We demonstrate practicality and applicability proposed methods an illustrative example, specifically focusing on context Supplier Selection Problems. To validate efficacy methodology, comparative analysis performed against other existing methods.

Язык: Английский

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Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

IEEE Access, Год журнала: 2024, Номер 12, С. 38163 - 38179

Опубликована: Янв. 1, 2024

Numerous factors, including project complexity, team size, customer collaboration, and development pace, must be taken into consideration while choosing a software methodology. This problem is multi-criteria decision-making dilemma since the many criteria frequently fight with one another fluctuate in priority. To systematically select best methodology, technique assists quantifying assessing these factors. ensures that decisions are made fair informed manner within context of challenging environment. Thus, this article, we develop approach setting bipolar complex fuzzy information for prioritization selection optimal For this, first, invent logarithmic operational laws associated results set. Then, four aggregation operators by utilizing under structure information, is, weighted averaging, ordered geometric, geometric. After that, solve related to methodology considering artificial data achieve "Agile" among considered different methodologies, i.e., Waterfall, DevOps, Spiral, Agile. In last, investigate comparison study deduced theory few current theories reveal importance supremacy constructed theory.

Язык: Английский

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Utilizing sine trigonometric q-spherical fuzzy rough aggregation operators for group decision-making and their role in digital transformation

Heliyon, Год журнала: 2024, Номер 10(10), С. e30758 - e30758

Опубликована: Май 1, 2024

q-spherical fuzzy rough set (q-SFRS) is also one of the fundamental concepts for addressing more uncertainties in decision problems than existing structures sets, and thus its implementation was substantial. The well-known sine trigonometric function maintains periodicity symmetry origin nature satisfies expectations experts over multi-parameters. Taking this feature significance q-SFRSs into consideration, main objective article to describe some reliable laws SFSs. Associated with these laws, we develop new average geometric aggregation operators aggregate numbers. Then, presented a group decision-making strategy address multi-attribute problem using developed operators. To verify value defined operators, MAGDM provided along applications selecting Cloud Service Provider Digital Transformation Vendor digital transformation. Moreover, comparative study performed present effectiveness approach.

Язык: Английский

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A Bipolar Complex Fuzzy CRITIC-ELECTRE III Approach Using Einstein Averaging Aggregation Operators for Enhancing Decision Making in Renewable Energy Investments

International Journal of Fuzzy Systems, Год журнала: 2024, Номер 26(7), С. 2359 - 2369

Опубликована: Май 26, 2024

Язык: Английский

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Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$-Information

International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 9, 2025

As demonstrated in the section above, stock market place is a dynamic factor, which makes it possible for traders and investors to make good decisions based on information acquired through accurate prediction. This research aims at improving prediction of by applying new method Multi-attribute Group Decision making (MAGDM). MAGDM goes cycle evaluating ranking several criteria hence enhancing decision-making aspects further. To overcome shortcomings prior models, some EU FU incorporated combining Zadeh's $${\hat{Z}}$$ -numbers with Picture Fuzzy Sets (PFSs). integration enhance ability model address completely unclear utilizing peculiarities -numbers. compare between decision-makers, we proposed picture fuzzy (PF N) their aggregation, introduced weighted averaging, ordered hybrid geometric, geometric operators algebraic $${\mathfrak {T}}$$ -norm ( {T}}-N$$ ) -conorm {T}}-CNs$$ verify efficiency our suggested technique, these Combined Compromised Solution (CoCoSo) focusing analysis. Our results, therefore, show how are important decision accuracy precision conditions risk. laid down basis dealing uncertainty different fields especially application The methodology can be attributed providing systematic more efficient way one or other has an outcome credibility process financial sector.

Язык: Английский

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Supplier Selection for Agriculture Industry Under Uncertainty: Machine Learning Based Sample Average Approximation Method

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 184 - 195

Опубликована: Янв. 1, 2025

Язык: Английский

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