Multi-attribute decision-making approach based on Aczel-Alsina power aggregation operators under bipolar fuzzy information &amp; its application to quantum computing

Garg, Harish; Mahmood, Tahir; ur Rehman, Ubaid; Nguyen, Gia Nhu

doi:10.1016/j.aej.2023.09.073

Cited by 13 publications

(4 citation statements)

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“…Therefore, we noticed that no one could derive the idea of power aggregation operators [ 25 ] based on Aczel-Alsina operational laws. For comparison, we have the following prevailing operators, such as Senapati et al [ 26 ] derived the Aczel-Alsina operators for HFSs, Mahmood et al [ 27 ] evaluated the Aczel-Alsina operators for BCFSs, Garg et al [ 28 ] invented the Aczel-Alsina power operators for BFSs, Mahmood et al [ 29 ] examined the geometric Aczel-Alsina operators for BCFSs, Hayat et al [ 30 ] exposed the aggregation operators for q-rung orthopair fuzzy sets, and Yang et al [ 31 ] invented the interaction operators for q-rung orthopair fuzzy soft sets. The comparative analysis between proposed and prevailing operators is stated in Table 1 .…”

Section: Comparative Analysismentioning

confidence: 99%

“…After a long discussion, we noticed that no one could derive the idea of power aggregation operators [ 25 ] based on Aczel-Alsina operational laws. Because many scholars have utilized the Aczel-Alsina operators in the environment of different fields, for instance, Senapati et al [ 26 ] derived the Aczel-Alsina operators for HFSs, Mahmood et al [ 27 ] evaluated the Aczel-Alsina operators for BCFSs, Garg et al [ 28 ] invented the Aczel-Alsina power operators for BFSs, and Mahmood et al [ 29 ] examined the geometric Aczel-Alsina operators for BCFSs. After our brief assessments, we observed that a lot of experts have faced the following three major problems during the decision-making procedure, such as…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China

Ma,

Ali,

Yin

2024

PLoS ONE

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A learning management system (LMS) is a web-based application or software platform computed to facilitate the development, tracking, management, reporting, and delivery of education and training programs. Many valuable and dominant factors are working behind the Learning Management System (LMS), but no one can find which factor is most important and valuable for LMS during COVID-19 among the following five alternatives, called Improved Accessibility, Blended Learning, Collaboration and Communications, Assessment and Evaluation, and Administrative Efficiency. For this, first, we derive the techniques of bipolar complex hesitant fuzzy (BCHF) sets, and then we evaluate some flexible operational laws, called Algebraic operational laws and Aczel-Alsina operational laws. Secondly, using the above techniques, we elaborate the technique of BCHF Aczel-Alsina power averaging (BCHFAAPA), BCHF Aczel-Alsina power weighted averaging (BCHFAAPWA), BCHF Aczel-Alsina power geometric (BCHFAAPG), and BCHF Aczel-Alsina power weighted geometric (BCHFAAPWG) operators. Some basic properties are also investigated for each proposed operator. Further, to evaluate the problem concerning LMS, we compute the multi-attribute decision-making (MADM) techniques for invented operators. Finally, we select some prevailing operators and try to compare their ranking results with our proposed results to enhance the worth and capability of the invented theory.

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Section: Comparative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China

Ma,

Ali,

Yin

2024

PLoS ONE

View full text Add to dashboard Cite

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“…The research can't cope with information that is in the generalized form of CFS such as bipolar complex fuzzy set [23], and hesitant bipolar complex fuzzy sets [24]. This work also can't cope with the negative aspect that is the concept of bipolar fuzzy set [25]. That's why, in the future, we aim to expand this work in these domains.…”

Section: A Limitations and Future Directionmentioning

confidence: 99%

Parameter Selection Impacting Software Reliability by Utilizing WASPAS Technique Based on Tangent Trigonometric Complex Fuzzy Aggregation Operators

Khan,

Munir,

Albaity

et al. 2024

IEEE Access

Self Cite

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Software reliability is a paramount quality attribute that manifests itself in the likelihood of failure-free operation. The development of systems with growing complexity complicates the assessment and enhancement of reliability owing to technical and managerial factors. The vague concept of fuzzy sets and their generalizations have been useful since they can be applied to dealing with imprecise and unreliable information. To overcome the issues of software reliability and the complex, ambiguous nature of information parameters, this paper suggests a new way to use the fuzzy complex set in addition to multi-criteria decisionmaking to analyze the effect of various software parameters. The investigation starts by explaining the concept of the tangent trigonometric complex fuzzy set and the operations connected with it. Then, it gives the aggregation operators in the complex fuzzy sets, including the tangent trigonometric complex fuzzy weighted averaging and the tangent trigonometric complex fuzzy weighted geometric operators with their basic properties. Consequently, we apply the obtained operators to a multi-criteria decision-making method called the "Weighted Aggregated Sum Product Assessment" in the context of complex fuzzy sets. Next, we go into details of the proposed technique by taking a case study of a "Parameter Selection Impacting Software Reliability". Furthermore, the study analyzes the given approach with other existing theories to show the benefits and superiority of the newly developed approach. This paper provides a detailed and original approach that combines complex fuzzy sets of and multi-criteria decision-making methods in order to overcome the obstacles of software reliability evaluation in the presence of complex and ambiguous information.INDEX TERMS Software reliability; complex fuzzy set; tangent trigonometric complex fuzzy aggregation operators; WASPAS technique.

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“…Furthermore, Mahmood et al [18] derived bipolar CFSSs (BCFSSs) with applications in decision-making problems. We observe that many researchers have developed different kinds of operators on FSs, BFSs, CFSs, BCFSs, SSs, and BFSSs, for instance, aggregation operators (AOs) for FSs [19], geometric and power operators for CFSs [20,21], AOs for BCFSs [22,23], AOs for SSs [24], robust AOs for BFSSs [25], and Aczel-Alsina power AOs for BFSs [26].…”

Section: Introductionmentioning

confidence: 99%

Improving Risk Assessment Model for Cyber Security Using Robust Aggregation Operators for Bipolar Complex Fuzzy Soft Inference Systems

Ali,

Yang

2024

Mathematics

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Improving a risk assessment technique for the problem of cyber security is required to modify the technique’s capability to identify, evaluate, assess, and mitigate potential cyber threats and ambiguities. The major theme of this paper is to find the best strategy to improve and refine the cyber security risk assessment model. For this, we compute some operational laws for bipolar complex fuzzy soft (BCFS) sets and then propose the BCFS weighted averaging (BCFSWA) operator, BCFS ordered weighted averaging (BCFSOWA) operator, BCFS weighted geometric (BCFSWG) operator, and BCFS ordered weighted geometric (BCFSOWG) operator. Furthermore, we give their properties, such as idempotency, monotonicity, and boundedness. Additionally, we improve the risk assessment technique for the cyber security model based on the proposed operators. We illustrate the technique of multi-attribute decision-making (MADM) problems for the derived operators based on BCFS information. Finally, we compare our ranking results with those of some existing operators for evaluating and addressing the supremacy, validity, and efficiency of these operators under BCFS information.

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Multi-attribute decision-making approach based on Aczel-Alsina power aggregation operators under bipolar fuzzy information & its application to quantum computing

Cited by 13 publications

References 56 publications

Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China

Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China

Parameter Selection Impacting Software Reliability by Utilizing WASPAS Technique Based on Tangent Trigonometric Complex Fuzzy Aggregation Operators

Improving Risk Assessment Model for Cyber Security Using Robust Aggregation Operators for Bipolar Complex Fuzzy Soft Inference Systems

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