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Evaluation of Learning Content Management Systems by Using Fuzzy Analytic Hierarchy Process

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Learning Content Management System (LCMS) plays a very important role in e-Learning and enterprise training. Now more and more manufacturers invest in the field of LCMSs. With so many vendors and products, it is very hard to compare between them. Therefore, an effective evaluated approach is critical. In this paper, we proposed an evaluation method for LCMSs based on Fuzzy Analytic Hierarchy Process (FAHP). The FAHP is used to selecting the best LCMS considering both qualitative and quantitative criteria. The illustrative examples show that proposed fuzzy analytic hierarchy Process method was feasible in evaluating the whole function of a LCMS.

Keywords: EVALUATION; FUZZY ANALYTIC HIERARCHY PROCESS; LEARNING CONTENT MANAGEMENT SYSTEM; WEIGHT MATRIX

Document Type: Research Article

Publication date: 30 March 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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