Importance-Performance Analysis Based on Choquet Integral with Respect to L-Measure

Abstract:

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In this study, the Web-based Multi-Survey System was adopted, one or two choices available among five options, to set up questionnaire to get a nine-point scale with network programs. As an empirical research, which was conformed to the policy of Ministry of Education to promote technology abilities for teachers in Taichung County in 2009, the important and satisfied survey from Teachers’ Free Software Application workshops was analyzed by four approaches which were Importance-Performance Analysis, Simple Logistic regression model, Choquet integral regression model with respect to λ-measure, and Choquet integral regression model with respect to L-measure. By comparing MSE, Choquet integral regression model with L-measure obtained the best performance. Two crosshairs which were Hollenhorst’s overall mean and Choquet integral regression model with L-measure were positioned for I-P matrix. From results, the L-measure model had shown better sensitivity about quadrant distribution, and reflected participants’ real responses. At the same time, it was definitely known what to keep up the good work, concentrate here, or possible overkill through assessing Importance and Performance of teacher’s workshops.

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Periodical:

Edited by:

Ran Chen

Pages:

3844-3848

DOI:

10.4028/www.scientific.net/AMM.44-47.3844

Citation:

S. J. Lee et al., "Importance-Performance Analysis Based on Choquet Integral with Respect to L-Measure", Applied Mechanics and Materials, Vols. 44-47, pp. 3844-3848, 2011

Online since:

December 2010

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$35.00

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