A decision-making algorithm with circular complex intuitionistic fuzzy information and their application in cognitive wireless communications DOI Creative Commons
Harish Garg, Zeeshan Ali, Walid Emam

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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

Amir S. Ali,

Kifayat Ullah, Amir Hussain

et al.

Journal of Decision Analytics and Intelligent Computing, Journal Year: 2023, Volume and Issue: 3(1), P. 80 - 89

Published: June 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.

Language: Английский

Citations

56

Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information DOI Creative Commons
Yibo Wang, Abrar Hussain, Shi Yin

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 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.

Language: Английский

Citations

16

Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems DOI Creative Commons
Donglai Wang, Sukumar Letchmunan, Juan Liao

et al.

Published: Jan. 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.

Language: Английский

Citations

4

Complex spherical fuzzy Aczel Alsina aggregation operators and their application in assessment of electric cars DOI Creative Commons
Abrar Hussain, Kifayat Ullah, Tapan Senapati

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e18100 - e18100

Published: July 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.

Language: Английский

Citations

37

Novel intuitionistic fuzzy Aczel Alsina Hamy mean operators and their applications in the assessment of construction material DOI Creative Commons
Abrar Hussain, Haolun Wang, Kifayat Ullah

et al.

Complex & Intelligent Systems, Journal Year: 2023, Volume and Issue: 10(1), P. 1061 - 1086

Published: Aug. 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.

Language: Английский

Citations

28

Multiple-attribute group decision-making approach using power aggregation operators with CRITIC-WASPAS method under 2-dimensional linguistic intuitionistic fuzzy framework DOI
Rajkumar Verma, Eduardo Álvarez‐Miranda

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 157, P. 111466 - 111466

Published: March 20, 2024

Language: Английский

Citations

13

A Robust Decision-Making Approach for Supplier Selection Using Complex Picture Fuzzy Information Involving Prioritization of Attributes DOI Creative Commons
Abrar Hussain, Kifayat Ullah,

Tehreem Tehreem

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 91807 - 91830

Published: Jan. 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.

Language: Английский

Citations

16

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

Zia Ur Rahman,

Ghous Ali, Muhammad Asif

et al.

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

Published: Jan. 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.

Language: Английский

Citations

5

AI-based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities with Spherical Fuzzy Decision Algorithm DOI Creative Commons

Lin Yang

IEEE Access, Journal Year: 2025, Volume and Issue: 13, P. 18386 - 18402

Published: Jan. 1, 2025

Language: Английский

Citations

0

Selection of Cloud Services Provider by Utilizing Multi-Attribute Decision-Making Based on Hesitant Bipolar Complex Fuzzy Dombi Aggregation Operators DOI Creative Commons
Muhammad Aslam, Hafiz Muhammad Waqas, Ubaid ur Rehman

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 35417 - 35447

Published: Jan. 1, 2024

A trustworthy cloud services provider makes sure that data backups, disaster recovery, and compliance with industry standards are all met, allowing businesses to concentrate on their core competencies innovation while leaving the complexity of IT infrastructure management professionals. The selection finest is a multi-attribute decision-making problem thus, in this article, we investigate by employing technique using invention hesitant bipolar complex fuzzy set. sets deal not only involving information but also dual aspects both positive negative because lot real-life situation contains has hesitancy, 2 nd dimension, aspect simultaneously. Furthermore, manuscript, structure set initiate numerous aggregation operators. Under environment proposed methodology, invent different operators such as Dombi weighted averaging, ordered hybrid geometric, geometric All these used solve situations at times. When any decision-maker wants hesitation under dimensions then very useful. Without operators, cannot handle above no doubt tools for available market there tool solving information. Afterward, devise tackling genuine life dilemmas setting sets. We case study associated service providers invented decision-making. In end, compare our newly suggested work few other current theories show effectiveness work.

Language: Английский

Citations

3