NON-PARAMETRIC TEST WITH FUZZY DATA AND ITS APPLICATIONS IN THE PERFORMANCE EVALUATION OF CUSTOMER CAPITAL

Yu-Lan Lee, Ming-leih Wu and Chunti Su
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Yu-Lan Lee: Department of Educational Policy and Administration, National Chi Nan University, Taiwan
Ming-leih Wu: Graduate Institute of Adult and Continuing Education, National Chi Nan University, Taiwan
Chunti Su: Department of Educational Policy and Administration, National Chi Nan University, Taiwan

Chapter 11 in Quantitative Modelling in Marketing and Management, 2012, pp 301-314 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractIn such a globalised era accompanied with dramatically competitive waves, contemporary community colleges have drawn more and more attention on their performance management. This study aims to measure performance from customer capital and propose solutions that can effectively improve the performance measurement on community colleges. We utilise soft computing method to design a performance evaluation model. By fuzzy statistical methods, we retrieve the community college management features and build up performance indicators, such as enrollment, satisfaction, and attendance for customer capital. Community colleges can perform effective decision-making on performance evaluation by adapting the analysis of customer capital.

Keywords: Quantitative Modelling; Statistical; Computer; Marketing; Neural Networks; Fuzzy Logic; k-Clique Model; Meta-heuristics (search for similar items in EconPapers)
Date: 2012
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