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Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator. SYSTEMS 2022. [DOI: 10.3390/systems10030063] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Due to the full-scale outbreak of COVID-19, many universities have adopted the way of online teaching to ensure the orderly development of teaching plans and teaching contents. However, whether online and offline teaching can develop homogeneously and how to ensure the teaching effect is a major challenge for colleges and universities. Therefore, it is urgent to construct a reasonable index system and evaluation approach for the quality of network teaching. Combined with the influencing factors and characteristics of online teaching, this study first puts forward a multi-index evaluation index system and then proposes a novel evaluation method for online teaching based on the analytical hierarchy process (AHP) and Dombi weighted partitioned Muirhead Mean (PMM) operator under Fermatean fuzzy (FF) environment. This presented method not only adapts to changeable evaluation information but also handles the elusive interrelationships among indexes, realizing the flexibility and comprehensiveness both in form and in the polyaddition process. The applicability and feasibility of this presented method are then discussed through the practical online teaching quality evaluation of a business statistics course case, and a group of tentative about the sensitivity analysis and comparative analysis further demonstrates the effectiveness and flexibility of the proposed method.
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Qin Y, Cui X, Huang M, Zhong Y, Tang Z, Shi P. Multiple-attribute decision-making based on picture fuzzy Archimedean power Maclaurin symmetric mean operators. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00228-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Qin Y, Qi Q, Shi P, Scott PJ, Jiang X. Linguistic interval-valued intuitionistic fuzzy Archimedean prioritised aggregation operators for multi-criteria decision making. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-191385] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Yuchu Qin
- School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, UK
| | - Qunfen Qi
- School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, UK
| | - Peizhi Shi
- School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, UK
| | - Paul J. Scott
- School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, UK
| | - Xiangqian Jiang
- School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, UK
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