An approach to multi-attribute decision-making based on intuitionistic fuzzy soft information and Aczel-Alsina operational laws

Journal of Decision Analytics and Intelligent Computing, Год журнала: 2023, Номер 3(1), С. 80 - 89

Опубликована: Июнь 7, 2023

The intuitionistic fuzzy soft set (IFSS) is a vital technique for tackling uncertainty while the collection of information with help membership function having values from unit interval. Moreover, Aczel-Alsina t-norm (AATNRM) and t-conorm (AATCRM) are most generalized flexible operational laws to operate which part intervals. purpose this article provide number aggregation operations (AOs) represented by (IFSVs) based on AATRM AATCRM. Therefore, some new developed using AATCRM development sum product IFSVs. Then, weighted averaging (IFSAAWA) geometric (IFSAAWG) operators purposed these laws. Additionally, their characteristics examined, difference proposed existing investigated. approach applied problem multi-attribute decision-making (MADM) significance.

Язык: Английский

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Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information

Frontiers in Energy Research, Год журнала: 2024, Номер 11

Опубликована: Янв. 16, 2024

Solar power is an alternative energy derived from the sun. more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorporating theory of decision-making process. To serve goal, discusses well-known aggregation model q-rung orthopair fuzzy set, broader flexible environment sets intuitionistic used handle unpredictable information human opinions. The key components article are demonstrate some realistic operations Sugeno–Weber triangular norms considering information. These provide authentic estimated during We developed class new operators using system, including weighted average geometric operators. Some special cases also demonstrated show compatibility proposed methodologies. An innovative approach multi-attribute problem utilized resolve different real-life applications various criteria or attributes. intensity applicability approaches, we explored numerical example for efficient selection Furthermore, presented comprehensive comparison technique compare findings existing methods with approaches. Finally, research work summarized, future prospects discussed.

Язык: Английский

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Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems

Опубликована: Янв. 3, 2025

Complex Pythagorean fuzzy sets (CPFSs) extend by expressing membership, non-membership, and hesitancy degrees using complex numbers. An urgent issue in CPFSs is determining how to accurately measure the similarity between sets. Similarity measures are crucial for assessing closeness two objects extensively applied decision-making. In this paper, we propose new based on trigonometric functions their weighted representations. Additionally, investigate properties these satisfy demonstrate effectiveness through several numerical examples. Lastly, apply decision-making problems, including pattern recognition medical diagnosis.

Язык: Английский

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Complex spherical fuzzy Aczel Alsina aggregation operators and their application in assessment of electric cars

Heliyon, Год журнала: 2023, Номер 9(7), С. e18100 - e18100

Опубликована: Июль 1, 2023

The multi-criteria decision-making (MCDM) tool is a robust technique utilized in several fields like networking, risk management, digital analysis, cybercrime investigation, artificial intelligence, waste management enterprises and many other selection criteria. Complex SFS (CSFS) new edition of the spherical fuzzy set (SFS) that offers substantial information about any item terms amplitude phase wider range real terms. can be an extension (SFS). Aczel-Alsina aggregation tools are more appropriate operators (AOs), they used to conquer impact inconsistent uncertain data. In this paper, we reveal some approaches based on under consideration Spherical Fuzzy (CSF) information. These include CSF weighted average (CSFAWA) operator, ordered (CSFOWA) operator. addition this, also introduce list novel techniques by making use theory such as geometric (CSFAWG) (CSFOWG) operators. To demonstrate resilience efficacy have been mentioned, will examine few exceptional examples remarkable properties methodology devised. addition, characterization provided for approach MCDM issue using CPF system. We example electric automobiles case study illustrate uniformity dependability established. This was chosen because high cost fuel present economic challenges being encountered families middle class. An empirical constructed determine car desirable proposed. evaluate correctness superiority established strategies, compare outcomes previously with AOs currently provided.

Язык: Английский

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Novel intuitionistic fuzzy Aczel Alsina Hamy mean operators and their applications in the assessment of construction material

Complex & Intelligent Systems, Год журнала: 2023, Номер 10(1), С. 1061 - 1086

Опубликована: Авг. 19, 2023

Abstract Aggregation operators (AOs) are utilized to overcome the effects of attributes under some specific degree weight in decision-making (DM) process. The AOs have a large capacity deal with uncertain and unpredictable information multi-attribute (MADM) problems. Hamy mean (HM) aggregation tools well-known models, which define correlation among different input arguments adequately. intuitionistic fuzzy (IF) sets (IFS) can express vague information. Aczel Alsina expressions extensions triangular norms. Recently, attained lot attentions from numerous research scholars. By inspiring robustness reliability tools, we expose appropriate operations consideration IF In this manuscript, developed an HM (IFAAHM) weighted (IFAAWHM) operator. We also expressed theory Dual (DHM) established series new approaches including (IFAADHM) (IFAAWDHM) operators. Some reliable characteristics special cases our derived presented. authors solved application MADM technique approaches. To check dependency mythologies, gave experimental case study evaluate desirable construction material based on criteria Alternatives. see advantages compatibility approaches, by comparing results existing currently discussed AOs.

Язык: Английский

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Multiple-attribute group decision-making approach using power aggregation operators with CRITIC-WASPAS method under 2-dimensional linguistic intuitionistic fuzzy framework

Applied Soft Computing, Год журнала: 2024, Номер 157, С. 111466 - 111466

Опубликована: Март 20, 2024

Язык: Английский

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A Robust Decision-Making Approach for Supplier Selection Using Complex Picture Fuzzy Information Involving Prioritization of Attributes

IEEE Access, Год журнала: 2023, Номер 11, С. 91807 - 91830

Опубликована: Янв. 1, 2023

To reduce the risk and interruptions of supply chain, some appropriate aggregation operators are used to deal with crucial challenges keep support system reliable. In this article, we explore notion complex picture fuzzy (CPF) set (CPFS), a wider framework sets. Some robust operations Aczel Alsina tools characterized based on CPF information overcome impact uncertain imprecision situations. We also explain an innovative concept prioritized (AOs) in light information. The theory unknown weight vectors is develop new approaches environments, including average (CPFAPA) geometric (CPFAPG) operators. propose class methodologies under considering information, such as weighted (CPFAPWA) (CPFAPWG) illustrate flexibility our invented methodologies, characteristics proposed demonstrated. multi-attribute decision-making (MADM) technique evaluate many real-life challenges. An algorithm for MADM problem show robustness approaches. By using demonstrate experimental case study choose sustainable supplier agnet practicability consistency by contrasting results existing literature review currently presented methodologies.

Язык: Английский

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Identification of desalination and wind power plants sites using m-polar fuzzy Aczel–Alsina aggregation information

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 3, 2024

Real-world decision-making problems often include multi-polar uncertainties dependent on multi-dimensional attributes. The m-polar fuzzy (mF) sets can efficiently handle such multi-faceted complications with T-norm based weighted aggregation techniques. Aczel-Alsina T-norms offer comparatively flexible and accurate than the other well-known families. Consequently, this work introduced novel mF operators (AOs), including averaging (mFAAWA, mFAAOWA, mFAAHWA) geometric (mFAAWG, mFAAOWG, mFAAHWG) AOs. fundamental properties, boundedness, idempotency, monotonicity, commutativity are investigated. Based proposed AOs, a algorithm is developed implemented to solve two detailed site selection (for desalination plant for wind-power plant). Finally, comparison Dombi Yager AOs reveals that different may yeild solutions same problem.

Язык: Английский

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Hamacher interaction aggregation operators for complex intuitionistic fuzzy sets and their applications in green supply chain management

Complex & Intelligent Systems, Год журнала: 2024, Номер 10(3), С. 3853 - 3871

Опубликована: Фев. 27, 2024

Abstract A complex intuitionistic fuzzy (CIF) set contains the membership and non-membership in shape of a number whose amplitude term phase are covered unit interval. Moreover, Hamacher interaction aggregation operators combination two major operators, called they used to aggregate collection information into one value. In this manuscript, we present concept operational laws for CIF sets (CIFSs). Further, develop weighted averaging (CIFHIWA) operator, ordered (CIFHIOWA) geometric (CIFHIWG) (CIFHIOWG) operator. For these also discuss some basic properties, such as idempotency, monotonicity, boundedness. Additionally, MADM method based on developed apply it solve green supply chain management problems, which can implement environmentally friendly practices minimize carbon emissions, resource consumption, waste generation while promoting long-term sustainability. Finally, verify superiority effectiveness proposed comparative analysis between techniques existing methods.

Язык: 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, Год журнала: 2024, Номер 10(16), С. e35942 - e35942

Опубликована: Авг. 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.

Язык: Английский

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