Optimal selection of E-learning websites using multiattribute decision-making approaches

Garg, Rakesh

doi:10.1002/mcda.1612

Cited by 28 publications

(15 citation statements)

References 25 publications

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“…The five most important factors from the students as well as the instructors' point of view were derived [26]. Research on E-learning website selection and ranking have been carried using fuzzy Complex Proportional Assessment (COPRAS) [27], weighted distance-based approximation [28], multi attribute decision-making approaches [29], multi-attribute decision-making matrix methodology [30] and FAHP, COPRAS, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Weighted Distance Based Approximation (WDBA) [31].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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Learning using the Internet or training through E-Learning is growing rapidly and is increasingly favored over the traditional methods of learning and teaching. This radical shift is directly linked to the revolution in digital computer technology. The revolution propelled by innovation in computer technology has widened the scope of E-Learning and teaching, whereby the process of exchanging information has been made simple, transparent, and effective. The E-Learning system depends on different success factors from diverse points of view such as system, support from the institution, instructor, and student. Thus, the effect of critical success factors (CSFs) on the E-Learning system must be critically analyzed to make it more effective and successful. This current paper employed the analytic hierarchy process (AHP) with group decision-making (GDM) and Fuzzy AHP (FAHP) to study the diversified factors from different dimensions of the web-based E-Learning system. The present paper quantified the CSFs along with its dimensions. Five different dimensions and 25 factors associated with the web-based E-Learning system were revealed through the literature review and were analyzed further. Furthermore, the influence of each factor was derived successfully. Knowing the impact of each E-Learning factor will help stakeholders to construct education policies, manage the E-Learning system, perform asset management, and keep pace with global changes in knowledge acquisition and management.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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“…Bekar et al [70] developed a hybrid model based on grey relations, COPRAS and FS theory for evaluating the performance measures. Garg [71] designed the COPRAS based framework to evaluate the desirable e-learning website. Wang et al [72] implemented a soft set based COPRAS technique to estimate the risk model for failure mode and effect analysis.…”

Section: Complex Proportional Assessment (Copras) Approachmentioning

confidence: 99%

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

et al. 2020

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The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.

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“…Jain et al [35] utilized the weighted distance-based approximation for selection and ranking of E-websites. Based on weighted Euclidean distance, Garg [36] proposed a computational quantitative model in order to evaluate, select, and rank E-learning websites. Garg and Arora [37] evaluated fraud detection model versus selection criteria as a Multi-Criteria Decision-Making (MCDM) problem and obtained a validated comprehensive ranking.…”

Section: Example Related To E-learning Websitesmentioning

confidence: 99%

Eigen Spherical Fuzzy Set and its Application in Decision Making Problem

Guleria

Bajaj

2019

Scientia Iranica

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An eigen fuzzy set of a fuzzy relation is often invariant under di erent computational aspects. The present research introduces a novel concept of eigen spherical fuzzy set of spherical fuzzy relations along with various composition operators for the rst time. This study proposed two algorithms to determine the greatest eigen spherical fuzzy sets and least eigen spherical fuzzy sets using the max min and min max composition operators, respectively, and illustrated the steps through ow charts. Further, two numerical examples related to di erent elds of decision-making problems were taken into account for illustrating the proposed methodology. The scope of future work in the eld of image information retrieval, genetic algorithm for image reconstruction, and notion of eigen spherical fuzzy soft sets/matrices was duly outlined. The comparative remarks and advantages of the proposed eigen spherical fuzzy sets were also included for better readability.

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Optimal selection of E-learning websites using multiattribute decision-making approaches

Cited by 28 publications

References 25 publications

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

Eigen Spherical Fuzzy Set and its Application in Decision Making Problem

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