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Cloud E-Learning Service Strategies for Improving E-Learning Innovation Performance in a Fuzzy Environment by Using a New Hybrid Fuzzy Multiple Attribute Decision-Making Model
ARTICLE

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Interactive Learning Environments Volume 24, Number 8, ISSN 1049-4820

Abstract

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the fuzzy DEMATEL-based analytic network process (DANP) as well as (b) the modified VIKOR method combining fuzzy influential weights of fuzzy DANP to integrate each criterion of fuzzy performance gaps into dimensions and, overall, to examine the interdependent and feedback problems among various dimensions/criteria of cloud e-learning services for creating the excellent improvement plan based on the FSINRM to implement the strategic orientations. An empirical case of the network communication service industry was used as an example to show the proposed methods and ultimately present the most effective improvement plan for decision-makers to achieve the aspiration level.

Citation

Su, C.H., Tzeng, G.H. & Hu, S.K. (2016). Cloud E-Learning Service Strategies for Improving E-Learning Innovation Performance in a Fuzzy Environment by Using a New Hybrid Fuzzy Multiple Attribute Decision-Making Model. Interactive Learning Environments, 24(8), 1812-1835. Retrieved October 15, 2019 from .

This record was imported from ERIC on January 10, 2019. [Original Record]

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