Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge
Improving operational and cost effectiveness is crucial for enhancing organizational performance, competitiveness, and resilience. While traditional fuzzy-MCDM methods are widely used to handle uncertainty and imprecision, they often fall short in capturing the layered, hierarchical uncertainties in...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10807174/ |
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| author | Qiaosong Jing |
| author_facet | Qiaosong Jing |
| author_sort | Qiaosong Jing |
| collection | DOAJ |
| description | Improving operational and cost effectiveness is crucial for enhancing organizational performance, competitiveness, and resilience. While traditional fuzzy-MCDM methods are widely used to handle uncertainty and imprecision, they often fall short in capturing the layered, hierarchical uncertainties inherent in real-world decision-making contexts. To address these limitations, we propose a novel methodology: Disc Interval-Valued Fermatean Fuzzy Sets (D-IVFFSs) integrated with a CRADIS-based MCDM technique. The disc-based and interval-valued structure of D-IVFFSs provides an enhanced capacity to model complex, nuanced uncertainties more flexibly and accurately than conventional fuzzy models. Additionally, the CRADIS method amplifies decision-making precision by incorporating multiple MADM approaches, optimizing the modelŠs adaptability to practical decision challenges. A case study demonstrates the modelŠs effectiveness in achieving operational stability and cost improvements, showcasing D-IVFFSŠs advanced capabilities for addressing uncertainties that traditional methods struggle to fully capture. |
| format | Article |
| id | doaj-art-4f1645acbe794b0eb2a65a9dd411e270 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4f1645acbe794b0eb2a65a9dd411e2702024-12-28T00:01:27ZengIEEEIEEE Access2169-35362024-01-011219442319443510.1109/ACCESS.2024.352022310807174Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy AcknowledgeQiaosong Jing0https://orcid.org/0009-0003-7626-7916Business and Management School, Chengdu Technological University, Chengdu, Sichuan, ChinaImproving operational and cost effectiveness is crucial for enhancing organizational performance, competitiveness, and resilience. While traditional fuzzy-MCDM methods are widely used to handle uncertainty and imprecision, they often fall short in capturing the layered, hierarchical uncertainties inherent in real-world decision-making contexts. To address these limitations, we propose a novel methodology: Disc Interval-Valued Fermatean Fuzzy Sets (D-IVFFSs) integrated with a CRADIS-based MCDM technique. The disc-based and interval-valued structure of D-IVFFSs provides an enhanced capacity to model complex, nuanced uncertainties more flexibly and accurately than conventional fuzzy models. Additionally, the CRADIS method amplifies decision-making precision by incorporating multiple MADM approaches, optimizing the modelŠs adaptability to practical decision challenges. A case study demonstrates the modelŠs effectiveness in achieving operational stability and cost improvements, showcasing D-IVFFSŠs advanced capabilities for addressing uncertainties that traditional methods struggle to fully capture.https://ieeexplore.ieee.org/document/10807174/Disc interval-valued fermatean fuzzy setscompromise ranking approach with distance and similaritydecision making |
| spellingShingle | Qiaosong Jing Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge IEEE Access Disc interval-valued fermatean fuzzy sets compromise ranking approach with distance and similarity decision making |
| title | Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge |
| title_full | Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge |
| title_fullStr | Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge |
| title_full_unstemmed | Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge |
| title_short | Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge |
| title_sort | enhanced decision model for optimize operational performance and cost efficiency under disc interval valued fermatean fuzzy acknowledge |
| topic | Disc interval-valued fermatean fuzzy sets compromise ranking approach with distance and similarity decision making |
| url | https://ieeexplore.ieee.org/document/10807174/ |
| work_keys_str_mv | AT qiaosongjing enhanceddecisionmodelforoptimizeoperationalperformanceandcostefficiencyunderdiscintervalvaluedfermateanfuzzyacknowledge |