Distance education quality evaluation based on multigranularity probabilistic linguistic term sets and disappointment theory

被引:23
作者
Liu, Peide [1 ]
Wang, Xiyu [1 ]
Teng, Fei [1 ]
Li, Yanwen [2 ]
Wang, Fubin [1 ]
机构
[1] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China
[2] Shandong Acad Social Sci, Jinan 250002, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Distance education quality evaluation; Multi-criteria group decision-making; Multi-granularity probabilistic linguistic term sets; MULTIMOORA method; Disappointment theory; GROUP DECISION-MAKING; MULTIMOORA; MODEL; SELECTION; WEIGHTS;
D O I
10.1016/j.ins.2022.05.034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distance education quality evaluation is extremely important in improving the quality of education under COVID-19. As traditional teaching-quality evaluation methods are no longer applicable, it is crucial to construct effective evaluation methods. In the evaluation of distance education quality, decision-makers have different linguistic expression preferences, and the evaluation information may be biased due to an improper grasp of the problem. In addition, the correlation between the criteria of distance education quality evaluation is common, and the results of existing evaluation methods are quite different. In this paper, to compensate for these deficiencies, we utilize the multi-granularity probabilistic linguistic term set (MGPLTS), which can reflect the linguistic expression preference of decision-makers and the importance of linguistic terms, and propose a multi-criteria group decision-making (MCGDM) method. First, the dispersion and concentration degrees are proposed as the theoretical basis for judging the hesitancy of decision-makers' evaluation information, and the decision-maker weight adjustment model is constructed. To reflect the importance and correlation of criteria, the SWARA method and the CRITIC method are constructed as criteria weight methods. To obtain reliable decision results, decision-makers' psychological expectations are taken into account, the MULTIMOORA method is improved upon, and a new integration theory is proposed to improve its robustness. Finally, through an example case of distance education quality evaluation and comparison with other methods, the effectiveness, practicability and superiority of this method are verified. (C) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:159 / 181
页数:23
相关论文
共 47 条
  • [11] DETERMINING OBJECTIVE WEIGHTS IN MULTIPLE CRITERIA PROBLEMS - THE CRITIC METHOD
    DIAKOULAKI, D
    MAVROTAS, G
    PAPAYANNAKIS, L
    [J]. COMPUTERS & OPERATIONS RESEARCH, 1995, 22 (07) : 763 - 770
  • [12] Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method
    Ghenai, Chaouki
    Albawab, Mona
    Bettayeb, Maamar
    [J]. RENEWABLE ENERGY, 2020, 146 (580-597) : 580 - 597
  • [13] An integrated multi-criteria decision making approach with linguistic hesitant fuzzy sets for E-learning website evaluation and selection
    Gong, Jia-Wei
    Liu, Hu-Chen
    You, Xiao-Yue
    Yin, Linsen
    [J]. APPLIED SOFT COMPUTING, 2021, 102
  • [14] Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets
    Gou, Xunjie
    Xu, Zeshui
    [J]. INFORMATION SCIENCES, 2016, 372 : 407 - 427
  • [15] Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
    Gwo-Hshiung Tzeng
    Cheng-Hsin Chiang
    Chung-Wei Li
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 32 (04) : 1028 - 1044
  • [16] A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines
    Hafezaikotob, Ashkan
    Hami-Dindar, Aida
    Rabie, Naghmeh
    Hafezalkotob, Arian
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 148 : 207 - 216
  • [17] An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges
    Hafezalkotob, Arian
    Hafezalkotob, Ashkan
    Liao, Huchang
    Herrera, Francisco
    [J]. INFORMATION FUSION, 2019, 51 : 145 - 177
  • [18] A model of consensus in group decision making under linguistic assessments
    Herrera, F
    Herrera-Viedma, E
    Verdegay, JL
    [J]. FUZZY SETS AND SYSTEMS, 1996, 78 (01) : 73 - 87
  • [19] An Improved PL-VIKOR Model for Risk Evaluation of Technological Innovation Projects with Probabilistic Linguistic Term Sets
    Li, Liping
    Chen, Qisheng
    Li, Xiaofeng
    Gou, Xunjie
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2021, 23 (02) : 419 - 433
  • [20] DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making
    Liao, Huchang
    Wu, Xingli
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2020, 94