Aczel–Alsina T-norm based group decision-making technique for the evaluation of electric cars using generalized orthopair fuzzy aggregation information with unknown weights

Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e26921 - e26921

Published: March 1, 2024

Data management and finding precise outcomes from large amounts of information are among the biggest challenges for scientists. The technique multi-attribute group decision-making (MAGDM) is a valuable tool investigating fuzzy data precisely. key objective paper to redefine q-rung orthopair (q-RO) set (FS) (q-ROFS) in term interval-valued proposed new aggregation operators (AOs) based on Aczel-Alsina (AA) t-norm (TN) t-conorm (TCN) operations. AA operational laws generalized form existing TNs TCNs give more reliable results because they can fluctuate their parametric values. concept enlarges space membership degree (MD) non-membership (NMD) decision-makers. By taking qth power, q-ROFS (IV-q-ROFS) structure. IV-q-ROFS handle uncertainty vagueness data, then intuitionistic FS (IV-IFS) Pythagorean (PyFS) (IV-PyFS) provide accurate results. thought power AOs (PAOs) makes relationship between weight vectors reduces chances aggregated advantage PAOs, this article devoted introducing q-ROF power-weighted averaging (IV-q-ROFAAPWA) geometric (IV-q-ROFAAPWG) operators. fundamental axioms AOs, idempotency, boundedness, monotonicity, also discussed. To illustrate importance suggested real-life problem electric car selection was solved by applying MAGDM method using IV-q-ROFAAPWA IV-q-ROFAAPWG comparison with currently present part article. We finally constructed solid conclusions.

Language: Английский

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Assessing indoor positioning system: A q-spherical fuzzy rough TOPSIS analysis

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31018 - e31018

Published: May 1, 2024

This study investigates advanced data collection methodologies and their implications for understanding employee customer behavior within specific locations. Employing a comprehensive multi-criteria decision-making framework, we evaluate various technologies based on four distinct criteria technological alternatives. To identify the most effective solution, employ q-spherical fuzzy rough TOPSIS method, integrating three key parameters: lower set approximation, upper parameter q (where ≥ 1). Our novel approach combines method with theory, providing deeper insights into data-driven processes in corporate environments. By comparing our proposed framework existing methodologies, demonstrate its strength competitiveness. research contributes to enhancing capabilities settings beyond.

Language: Английский

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Decision Support System Based on Bipolar Complex Fuzzy Hamy Mean Operators

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36461 - e36461

Published: Aug. 23, 2024

The important feature of the multi-attribute decision-making (MADM) technique is to identify an ideal solution and aggregate collective cognitive fuzzy information human opinion. To serve this purpose, we explore concepts bipolar complex set with positive negative support terms. A few applications Hamy mean (HM) Dual (DHM) models are also discussed find out relationship among input arguments or different preferences. For this, derive a family mathematical approaches by incorporating theory such as (BCFHM), weighted (BCFWHM), (BCFDHM), (BCFWDHM) operators. Derived more applicable can express influence uncertain due involvement additional parameter values. Based on diagnosed research work methodologies, establish decision algorithm for MADM problem resolve real-life dilemmas. An experimental case study demonstrates compatibility derived evaluates investment policy's sustainability based certain parameters. advantages consistency proposed verified in comparative various existing aggregation

Language: Английский

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Decision-Making With Unknown Weights for the Performance of Digital Devices in Healthcare Systems Based on Interval Valued T-Spherical Fuzzy Information

IEEE Access, Journal Year: 2023, Volume and Issue: 12, P. 13601 - 13625

Published: Oct. 5, 2023

The multi-attribute group decision-making (MAGDM) problem is used to evaluate suitable options based on specific attributes or characteristics of an object. potential the MAGDM demonstrated in every field life, like artificial intelligence, social and environmental science, networking, medical diagnosis, many other domains. essential components technique are aggregation operators (AOs), which developed by several mathematicians under system different fuzzy In this article, we express notion interval-valued t-spherical (IVT-SF) set (IVT-SFS), expansion intuitionistic picture sets with four human opinions. An IVT-SFS a well-known model that has large capacity deal unpredictable redundant information To mitigate influence information, illustrate some robust operations Aczel Alsina tools light IVT-SF information. Power reduce impact also define correlation among input arguments. By combining two concepts power operators, class new approaches namely weighted average (IVT-SFAAPWA) geometric (IVT-SFAAPWG) operators. order effectiveness proposed approaches, notable properties presented. resolve real-life applications, established algorithm for IVTSF We numerical example appropriate optimal option digital devices healthcare system. advantages consistency derived verified comparing findings existing methodologies currently discussed AOs.

Language: Английский

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An Approach to Multi-Attribute Decision-Making for Olive Trees Plantation Site Selection Using Spherical Fuzzy Neutrality Aggregation Operators

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 117403 - 117422

Published: Jan. 1, 2023

We introduce the concept of spherical fuzzy neutral aggregation operators by utilizing addition and scalar multiplication operational laws.Spherical set (SFS) is an effective tool for handling cognitive uncertainty in decision-making (DMg), operations are particularly useful capturing biased preferences decision-makers (DMs).In this context, primary aim study to innovate novel laws their associated operators.Therefore, main contribution manuscript development several (NAOs) based on SFS, including weighted (SFWNA) operator, ordered (SFOWNA) hybrid (SFHNA) operator.These NAOs specifically designed multi-attribute group (MAGDM) algorithm.In order showcase efficacy proposed algorithm, we implemented it context selecting a suitable site olive tree plantation Punjab province Pakistan.The algorithm successfully evaluated various locations (alternatives) considered criteria.The results illustrate flexibility, consideration interaction coefficients, desirable characteristics, applicability MAGDM, effectiveness AOs DMg scheme.These outcomes provide valuable insights into advantages potential impact approach addressing real-world problems within environment.Finally, obtained were compared with existing techniques, confirming that suggested method produces valid reliable outcomes.

Language: Английский

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