The Use of a DANP with VIKOR Approach for Establishing the Model of E-Learning Service Quality

Yang, Min-Hsuan; Su, Chiu-Hung; Wang, Wencheng

doi:10.12973/eurasia.2017.01041a

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…Besides the mentioned works, others present the utilization of different MCDM techniques for e-learning course evaluation and selection. For the resolving of the problem of evaluation of e-course quality, the authors have proposed the application of the proximity indexed value (PIV) model [58], fuzzy ANP [59], DANP and VIKOR [60], and so on. The conducted numerical case study presented in this paper, as well as the comparison with the results of the given authors, confirmed that the proposed approach is also very beneficial for e-learning course evaluation and selection because the obtained results clearly outlined the crucial characteristics and the position of the specific e-learning course comparing to the others.…”

Section: Discussionmentioning

confidence: 99%

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

et al. 2020

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The development of information and communication technologies has revolutionized and changed the way we do business in various areas. The field of education did not remain immune to the mentioned changes; there was a gradual integration of the educational process and the mentioned technologies. As a result, platforms for distance learning, as well as the organization of e-learning courses of various types, have been developed. The rapid development of e-learning courses has led to the problem of e-learning course selection and evaluation. The problem of the e-learning course selection can be successfully solved by using multiple-criteria decision-making (MCDM) methods. Therefore, the aim of the paper is to propose an integrated approach based on the MCDM methods and symmetry principles for e-learning course selection. The pivot pairwise relative criteria importance assessment (PIPRECIA) method is used for determining the weights of criteria, and the interval-valued triangular fuzzy additive ratio assessment (ARAS) method is used for the ranking of alternatives i.e., e-learning courses. The suitability of the proposed integrated model is demonstrated through a numerical case study.

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Section: Discussionmentioning

confidence: 99%

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

et al. 2020

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“…Regardless of previous attempts in flipped e-learning teaching, the lack of literature is still difficult to identify and analyze the elements and sub-elements of flipped e-learning systems in sustainable science education [23][24][25]. Thus, these operational methods are necessary to adjust sustainable science education of flipped e-learning system with various decision-makers on multiple criteria [26,37,38]. In particular, these operational techniques and methods are barely used in the topic of neither sustainability education nor flipped e-learning systems.…”

Section: Discussionmentioning

confidence: 99%

“…For prioritizing various criteria in science education for sustainable development together with many different disciplines and regulations, the multi-criteria decision analysis (MCDA) method can be applied along with the pairwise comparison method (PCM) and the analytic hierarchy process (AHP) through flipped e-learning system [26][27][28][29]. Here, Jain et al described that multi-criteria decision-makings on multiple components could be used for initiating and ranking flipped e-learning systems of the extensive selection and assessment of flipped e-learning systems [30].…”

Section: Elements' and Sub-elements' Descriptionmentioning

confidence: 99%

“…Various aspects of flipped e-learning related applications using MCDA-FDEMATEL have been considered to display all recommendations are comparable for both flipped e-learning and traditional programs [34][35][36]. According to Garg and Jain and Yang et al, flipped e-learning science interfaces are employing with a hierarchical growth model on the basis of fuzzy MCDA method and FDEMATEL analytic grid procedure that found the influential weights jointly with the establishment [26,37,38]. Thus, these operational methods are necessary to adjust sustainable science education of flipped e-learning system with various decision-makers on multiple criteria.…”

Section: Elements' and Sub-elements' Descriptionmentioning

confidence: 99%

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Prioritizing Elements of Science Education for Sustainable Development with the MCDA-FDEMATEL Method Using the Flipped E-Learning Scheme

2019

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Selecting and ordering components for sustainable science education is a critical issue, which is presently obtaining increased attention because of being at an early stage and scarce application in higher education. Though the flipped e-learning scheme is one of the novel information and communication technologies (ICTs), it can be of great relevance in a long-term learning program for various sustainable science education criteria. This research presents an approach to identify and analyze elements for science education for sustainable development with multi-criteria decision analysis-fuzzy decision-making trial and evaluation laboratory (MCDA-FDEMATEL) method by flipped e-learning system. With the method proposed, the main elements are collected as science-education, sustainable-development, technology-infrastructure and flipped-e-learning elements. The final results’ analyses with sixteen sub-elements are assessed with weighted linear combination (WLC) and sensitivity-analysis (I to VI implementations) in the context of the MCDA-FDEMATEL method. The most important element and sub-element for science education for sustainable development through flipped e-learning teaching are sustainable-development (as an element), VI implementation with 0.540 weight, and environmental contents (as a sub-element) with 0.570 weight. Consequently, this proposed approach could be used in different studies to validate the most important aspects of science education for sustainable development through flipped e-learning teaching elements and sub-elements with equivalent and comparable education settings.

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“…The results are recorded for data analysis using the Analyze Hierarchical Process (AHP) method associated with the VIKOR method (Wibawa et al, 2019), (Dincer & Hacioglu, 2013). These two methods are groups of Multi-Criteria Decision Making (MCDM) and have the same role in both methods, namely for the selection process and evaluation of all processes and activities that indicate ranking (Thipparat & Thaseepetch, 2013), thus both AHP and VIKOR methods can collaborate into a single method that can deal with problems related to the selection process for swimming athletes (Yang et al, 2017)for all swimming styles that are often competed in national and international high-level competitions, especially regarding existing swimming style variants.…”

Section: Introductionmentioning

confidence: 99%

Selection of the Best Swimming Athletes using MCDM-AHP and VIKOR Methods

Akmaludin¹,

Sidik

Iriadi

et al. 2021

SinkrOn

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The process of selecting the best swimming athletes is carried out in several test stages, the first is the ability in the four basic swimming styles which often contested in international competitions and the second test is the basic physical abilities possessed by a number of swimming athletes. The tests related to the swimming style consist of breaststroke swimming, butterfly swimming, backstroke swimming and crawlstroke swimming, while the plyometrics test consists of banded knee jump, squat jump, jump to side, and dept jump, Due to the large number of selections, a test is required for every athlete. The purpose of this selection is to find the best swimming athletes who will be competed in the international swimming class event. The nine athletes of millenium aquatic swimming club that were selected previously, they are the forerunners of the selected swimming athletes and will be evaluated on a representative basis, which is the best among the nine athletes. The method used in the evaluation and selection process uses two continuous methods, namely the AHP and VIKOR methods. From the results selection assessment, it was found that the best three of the nine nominations selected, the first position selected was AT2 with an index 0.00, the second position was AT8 with an index 0.25 and the third position was AT7 with an index 0.61. Thus it can be concluded that the AHP and VIKOR methods can be used as decision support to determine optimally in the optimal selection process for swimming athletes.

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The Use of a DANP with VIKOR Approach for Establishing the Model of E-Learning Service Quality

Cited by 6 publications

References 33 publications

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

Prioritizing Elements of Science Education for Sustainable Development with the MCDA-FDEMATEL Method Using the Flipped E-Learning Scheme

Selection of the Best Swimming Athletes using MCDM-AHP and VIKOR Methods

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