Title :
Improved fuzzy comprehensive evaluation model of business website
Author :
Li, Wenguo ; Pang, Yanjun
Author_Institution :
Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China
Abstract :
In view of complexity of the business websites and fuzziness of quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation become the advantage model for business website assessment. The core computing of Fuzzy Evaluation is the membership conversion, however, membership conversion way at present has a problem of redundancy, that is, the redundant data which has no value to objective classification in memberships of indicators is used to calculate the objective membership. In oder to obtain the membership conversion method which isn´t affected by interference of redundant data, we use entropy-based data mining method and define the distinguished weight through mining the knowledge information of objective classification hidden in membership of indicators. In this way, we abstract the effective value by mining the redundancy. Then we can calculate the membership of the objective by comparable value which get from the effective value. Thus, we construct a improved fuzzy comprehensive evaluation model of business website.
Keywords :
Web sites; business data processing; data mining; decision making; entropy; fuzzy set theory; AHP-based multilevel fuzzy comprehensive evaluation model; business Web site assessment; entropy-based data mining method; membership conversion method; objective classification; redundant data interference; Business; Computational modeling; Data mining; Indexes; Mathematical model; Safety; comparable value; distinguished weight; e-commerce; membership conversion; website;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964092
