A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe
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 a novel confidence-interval circular intuitionistic fuzzy set (CIC-IFS) framework, designed to address the intrica...
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MDPI AG
2024-10-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/13/11/758 |
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| author | Velichka Nikolova Traneva Venelin Todorov Stoyan Tranev Tranev Ivan Dimov |
| author_facet | Velichka Nikolova Traneva Venelin Todorov Stoyan Tranev Tranev Ivan Dimov |
| author_sort | Velichka Nikolova Traneva |
| collection | DOAJ |
| description | 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 a novel confidence-interval circular intuitionistic fuzzy set (CIC-IFS) framework, designed to address the intricate challenges of master and sub-franchise selection in the European market. By integrating competence coefficients of decision-makers into the final evaluations, the model allows for a more accurate representation of expert judgments. Decision-makers can choose from various scenarios, ranging from super pessimistic to super optimistic, using ten forms of aggregation operations over index matrices. The proposed approach leverages confidence intervals within the circular intuitionistic fuzzy set paradigm to capture the uncertainty, vagueness, and hesitancy inherent in the decision-making process. A case study involving Pizza Hut’s European operations demonstrates the model’s efficacy in differentiating potential franchisees and identifying those best aligned with the brand’s values. The results indicate a significant improvement in selection accuracy compared to traditional methods and other fuzzy approaches, thereby enabling Pizza Hut to make more informed decisions and solidify its market position. |
| format | Article |
| id | doaj-art-7bbbe273097144aaa86c5593f0eae0f2 |
| institution | Kabale University |
| issn | 2075-1680 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj-art-7bbbe273097144aaa86c5593f0eae0f22024-11-26T17:50:49ZengMDPI AGAxioms2075-16802024-10-01131175810.3390/axioms13110758A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in EuropeVelichka Nikolova Traneva0Venelin Todorov1Stoyan Tranev Tranev2Ivan Dimov3Department of Natural Sciences, Prof. Assen Zlatarov University, Prof. Yakimov Blvd. 1, 8010 Bourgas, BulgariaInstitute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 25A, 1113 Sofia, BulgariaDepartment of Social Sciences, Prof. Assen Zlatarov University, Prof. Yakimov Blvd. 1, 8010 Bourgas, BulgariaInstitute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 25A, 1113 Sofia, BulgariaEffective franchise selection is crucial for global brands like Pizza Hut to maintain consistent quality and operational excellence amidst a competitive landscape. This paper introduces a novel confidence-interval circular intuitionistic fuzzy set (CIC-IFS) framework, designed to address the intricate challenges of master and sub-franchise selection in the European market. By integrating competence coefficients of decision-makers into the final evaluations, the model allows for a more accurate representation of expert judgments. Decision-makers can choose from various scenarios, ranging from super pessimistic to super optimistic, using ten forms of aggregation operations over index matrices. The proposed approach leverages confidence intervals within the circular intuitionistic fuzzy set paradigm to capture the uncertainty, vagueness, and hesitancy inherent in the decision-making process. A case study involving Pizza Hut’s European operations demonstrates the model’s efficacy in differentiating potential franchisees and identifying those best aligned with the brand’s values. The results indicate a significant improvement in selection accuracy compared to traditional methods and other fuzzy approaches, thereby enabling Pizza Hut to make more informed decisions and solidify its market position.https://www.mdpi.com/2075-1680/13/11/758aggregation operationsconfidence-interval circular intuitionistic fuzzy setsdecision-makingmaster franchisesub-franchise |
| spellingShingle | Velichka Nikolova Traneva Venelin Todorov Stoyan Tranev Tranev Ivan Dimov A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe Axioms aggregation operations confidence-interval circular intuitionistic fuzzy sets decision-making master franchise sub-franchise |
| title | A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe |
| title_full | A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe |
| title_fullStr | A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe |
| title_full_unstemmed | A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe |
| title_short | A Confidence-Interval Circular Intuitionistic Fuzzy Method for Optimal Master and Sub-Franchise Selection: A Case Study of Pizza Hut in Europe |
| title_sort | confidence interval circular intuitionistic fuzzy method for optimal master and sub franchise selection a case study of pizza hut in europe |
| topic | aggregation operations confidence-interval circular intuitionistic fuzzy sets decision-making master franchise sub-franchise |
| url | https://www.mdpi.com/2075-1680/13/11/758 |
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