A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe DOI Creative Commons
Velichka Traneva, Venelin Todorov, Stoyan Tranev

et al.

Axioms, Journal Year: 2024, Volume and Issue: 13(11), P. 758 - 758

Published: Oct. 31, 2024

Effective franchise selection is crucial for global brands like Pizza Hut to maintain consistent quality and operational excellence amidst a competitive landscape. This paper introduces novel confidence-interval circular intuitionistic fuzzy set (CIC-IFS) framework, designed address the intricate challenges of master sub-franchise in European market. By integrating competence coefficients decision-makers into final evaluations, model allows more accurate representation expert judgments. Decision-makers can choose from various scenarios, ranging super pessimistic optimistic, using ten forms aggregation operations over index matrices. The proposed approach leverages confidence intervals within paradigm capture uncertainty, vagueness, hesitancy inherent decision-making process. A case study involving Hut’s demonstrates model’s efficacy differentiating potential franchisees identifying those best aligned with brand’s values. results indicate significant improvement accuracy compared traditional methods other approaches, thereby enabling make informed decisions solidify its market position.

Language: Английский

Decision-Making Process Under Uncertain Domain of Pythagorean Fuzzy Sets Based on an Enhanced Similarity Operator DOI
Paul Augustine Ejegwa

Studies in systems, decision and control, Journal Year: 2025, Volume and Issue: unknown, P. 217 - 231

Published: Jan. 1, 2025

Language: Английский

Citations

0

A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications DOI
Wathek Chammam, Abdul Haseeb Ganie, Maha Mohammed Saeed

et al.

Cognitive Computation, Journal Year: 2025, Volume and Issue: 17(2)

Published: April 1, 2025

Language: Английский

Citations

0

A new Fermatean fuzzy Spearman-like correlation coefficient and its application in evaluating insecurity problem via multi-criteria decision-making approach DOI Creative Commons
Paul Augustine Ejegwa, Nasreen Kausar, Nezir Aydın

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40403 - e40403

Published: Nov. 1, 2024

The problem of insecurity is a global crisis with adverse effects on lives and properties. Fermatean fuzzy correlation coefficient dependable method for handling imprecision, which the main bottleneck assessment. A number methods have been developed. Based Spearman's coefficient, an innovative built to enhance trustworthy existing are evaluated, their shortcomings identified in order validate construction new method. drawbacks lead us into building by using approach, has potential overcoming methods. In addition, some theoretical findings provided support strength novel it shown that satisfies requirements. Furthermore, applied assess situation North-Central Region Nigeria furnish intended tourists relevant travel advice. To demonstrate inherent significance method, we compare its effectiveness extant results comparison show superiority over ones terms reliability, consistency, precision compliance axioms. Ultimately, discovered can effectively address hesitations related

Language: Английский

Citations

2

A novel Pythagorean fuzzy correlation coefficient based on Spearman’s technique of correlation coefficient with applications in supplier selection process DOI
Paul Augustine Ejegwa, Nasreen Kausar, Nezir Aydın

et al.

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: unknown, P. 100762 - 100762

Published: Dec. 1, 2024

Language: Английский

Citations

2

Combining the Fuzzy Analytic Hierarchy Process Method with the Weighted Aggregated Sum Product Assessment Method to Address Internet Platform Selection Problems in an Environment with Incomplete Information DOI Creative Commons
Kuei‐Hu Chang,

Hsin-Hung Lai,

B. Hung

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4390 - 4390

Published: May 22, 2024

With the advancement of information technology, Internet is pivotal in today’s society, serving as a global connectivity platform. Leveraging technology within an enterprise can improve operational efficiency and curtail costs. However, traditional platform selection methods cannot simultaneously handle quantitative qualitative information, fuzzy semantics, incomplete expert-provided information. To address these limitations, this study integrated analytic hierarchy process (FAHP) weighted aggregated sum product assessment (WASPAS) approaches to tackle problems environment. demonstrate validity research approach, utilized construction industry case confirm efficacy proposed novel process-based method. Comparative analysis against model (WSM), (WPM), FAHP, typical WASPAS was conducted with numerical verification, revealing that method effectively manages comprehensive yields more rational outcomes for platforms.

Language: Английский

Citations

1

An Online Review-Driven Picture Fuzzy Multi-Criteria Group Decision-Making Approach for Evaluating the Online Medical Service Quality of Doctors DOI Open Access
Kaiwen Shi, Juan‐juan Peng

Symmetry, Journal Year: 2024, Volume and Issue: 16(6), P. 639 - 639

Published: May 21, 2024

In order to further investigate the level of online medical services in China and improve experience patients, this study aims establish an review-driven picture fuzzy multi-criteria group decision-making (MCGDM) approach for service evaluation doctors. First, based on Aczel–Alsina t-norm t-conorm, normal operations involving a variable parameter are defined make corresponding more flexible than other operations. Second, two aggregation operators developed, properties discussed as well. Third, combined with review information China’s platform Haodaifu, attributes their weights obtained, which can model objective. Fourth, extended complex proportional assessment (COPRAS) method quality is proposed. Finally, empirical example presented verify feasibility validity proposed method. A sensitivity analysis comparison also conducted demonstrate effectiveness flexibility approach.

Language: Английский

Citations

0

A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe DOI Creative Commons
Velichka Traneva, Venelin Todorov, Stoyan Tranev

et al.

Axioms, Journal Year: 2024, Volume and Issue: 13(11), P. 758 - 758

Published: Oct. 31, 2024

Effective franchise selection is crucial for global brands like Pizza Hut to maintain consistent quality and operational excellence amidst a competitive landscape. This paper introduces novel confidence-interval circular intuitionistic fuzzy set (CIC-IFS) framework, designed address the intricate challenges of master sub-franchise in European market. By integrating competence coefficients decision-makers into final evaluations, model allows more accurate representation expert judgments. Decision-makers can choose from various scenarios, ranging super pessimistic optimistic, using ten forms aggregation operations over index matrices. The proposed approach leverages confidence intervals within paradigm capture uncertainty, vagueness, hesitancy inherent decision-making process. A case study involving Hut’s demonstrates model’s efficacy differentiating potential franchisees identifying those best aligned with brand’s values. results indicate significant improvement accuracy compared traditional methods other approaches, thereby enabling make informed decisions solidify its market position.

Language: Английский

Citations

0