Introduction to Grey system theory
The Journal of Grey System
E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
ROSE - Software Implementation of the Rough Set Theory
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Assessment of learner satisfaction with asynchronous electronic learning systems
Information and Management
Applying rough sets to market timing decisions
Decision Support Systems - Special issue: Data mining for financial decision making
An approach to usability evaluation of e-learning applications
Universal Access in the Information Society
Critical success factors for e-learning acceptance: Confirmatory factor models
Computers & Education
Surveying instructor and learner attitudes toward e-learning
Computers & Education
E-learning standards as a basis for contextual forums design
Computers in Human Behavior
An extension to the ADL SCORM standard to support adaptivity: The t-learning case-study
Computer Standards & Interfaces
Developing a business failure prediction model via RST, GRA and CBR
Expert Systems with Applications: An International Journal
An Overview on the Mathematical Models of Quality Function Deployment
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 01
Expert Systems with Applications: An International Journal
Design concept evaluation in product development using rough sets and grey relation analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Language engineering techniques for the development of e-learning applications
Journal of Network and Computer Applications
From SCORM to Common Cartridge: A step forward
Computers & Education
Using QFD and ANP to analyze the environmental production requirements in linguistic preferences
Expert Systems with Applications: An International Journal
A study of student satisfaction in a blended e-learning system environment
Computers & Education
Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory
Expert Systems with Applications: An International Journal
An integrated decision framework for evaluating and selecting e-learning products
Applied Soft Computing
A new e-learning achievement evaluation model based on RBF-NN and similarity filter
Neural Computing and Applications - Special Issue on WCCI2008
Using rough set and worst practice DEA in business failure prediction
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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The digital content industry is flourishing as a result of the rapid development of technology and the widespread use of computer networks. As has been reported, the market size of the global e-learning (i.e., distance education and telelearning) will reach USD 49.6 billion in 2014. However, to retain and/or increase the market share associated with e-learning, it is important to maintain or increase service quality in this sector. This research was intended to develop an analytical model for enhancing the service quality of e-learning using a hybrid approach from the perspective of customers. The evaluation methodology integrates the three methods: rough set theory (RST), quality function deployment (QFD), and grey relational analysis (GRA). First, important criteria affecting service quality (referred to as customer requirements (CRs)) and relevant technical information (referred to as technical requirements (TRs)) for e-learning are compiled from an extensive literature review. Using the data regarding customer satisfaction collected from a questionnaire survey, RST is then used to reduce the number of attributes considered and to determine the CRs. Furthermore, in consultation with domain experts, QFD is used together with GRA to analyze the interrelationships between CRs (which represent the voice of customer (VOC)) and TRs (which represent the voice of the engineer (VOE)) and to create an order of priority for the TRs given the CRs based on objective weighting using the entropy value. An illustrative example is provided-an empirical analysis of the students who participated in the e-learning program at a particular university. The results reveal that of the fourteen TRs, ''Curriculum development'' has the greatest effect on e-learning service quality, followed by ''Evaluation'', ''Guidance and tracing'', ''Instructional design'', and ''Teaching materials''. Both the CRs and the TRs may vary depending on the individual organization. Nevertheless, the proposed model can be a useful point of reference for e-learning service providers, helping them to identify the TRs that they can use to enhance service quality and to target vital CRs.