In the information age, teachers are no longer the only source of information for students, and the problems of the traditional lecture mode are becoming more and more obvious. Especially in the process of teaching English in colleges and universities, students’ personalized and diversified needs for English learning are becoming more and more obvious, and if traditional theoretical lectures or theoretical indoctrination are continued, students’ needs and goals will be affected. As a new form of teaching, blended teaching can integrate the advantages of classroom teaching and online teaching and improve the overall quality and effectiveness of English teaching under the premise of changing the orientation of teachers and students. The English blended teaching quality evaluation is a multiple-attribute group decision-making (MAGDM) problem involving multiple qualitative and quantitative attributes. In this paper, on basis of EDAS technique, a novel spherical fuzzy number EDAS (SFN-EDAS) technique based on SFN Hamming distance (SFNHD) and SFN Jaccard similarity measure (SFNJSM) is built for dealing with MAGDM. Moreover, the MEREC technique with SFNHD and SFNJSM is extended to SFSs to acquire the attribute weights. Finally, SFN-EDAS technique is used for English blended teaching quality evaluation to prove practicability of the developed SFN-EDAS technique and SFN-EDAS technique is compared with existing techniques to further demonstrate its superiority. Hence, the research main achievements for this paper are outlined: (1) the novel EDAS technique is extended to the SFSs environment based on the SFNHD and SFNJSM; (2) the MEREC technique is extended to SFSs to acquire the attribute weights based on the SFNHD and SFNJSM; (3) a novel spherical fuzzy number EDAS (SFN-EDAS) technique based on the SFNHD and SFNJSM is built for dealing with MAGDM; (4) an empirical example and several comparative analysis for English blended teaching quality evaluation is offered to demonstrate the SFN-EDAS technique.

中文翻译：

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球形模糊MAGDM集成框架及其在英语混合教学质量评价中的应用

信息时代，教师不再是学生唯一的信息来源，传统讲授模式的问题越来越明显。特别是在高校英语教学过程中，学生对英语学习的个性化、多元化需求越来越明显，如果继续传统的理论讲授或理论灌输，学生的需求和目标将会受到影响。混合式教学作为一种新的教学形式，可以在改变教师和学生定位的前提下，整合课堂教学和网络教学的优势，提高英语教学的整体质量和效果。英语混合式教学质量评价是一个涉及多个定性和定量属性的多属性群体决策（MAGDM）问题。本文在EDAS技术的基础上，建立了一种基于SFN汉明距离(SFNHD)和SFN Jaccard相似度(SFNJSM)的球形模糊数EDAS(SFN-EDAS)技术来处理MAGDM。此外，将具有SFNHD和SFNJSM的MEREC技术扩展到SFS以获取属性权重。最后，将SFN-EDAS技术用于英语混合教学质量评价，证明所开发的SFN-EDAS技术的实用性，并与现有技术进行比较，进一步证明其优越性。因此，本文的主要研究成果如下：（1）将新颖的EDAS技术扩展到基于SFNHD和SFNJSM的SFS环境； (2)将MEREC技术扩展到SFS，以获取基于SFNHD和SFNJSM的属性权重； (3)建立了一种基于SFNHD和SFNJSM的新型球形模糊数EDAS(SFN-EDAS)技术来处理MAGDM； (4)给出了英语混合式教学质量评价的实证例子和几种比较分析来论证SFN-EDAS技术。