Author(s)

Huang Shihui

Corresponding Author

Huang Shihui

Abstract

In order to improve effectiveness of analysis on language fuzziness for business English in Hotel Majors with different development degree, a fuzzy meta association rule algorithm based on language fuzziness of business English to analyze hierarchy theory of evaluation model for ontology figure is proposed. First of all, evaluation model for ontology figure with language fuzziness of business English is evaluated based on analysis on language fuzziness of business English in document ontology figure and it is the process that entire KLSeeker system framework is divided into four modules to handle different kinds of ontology. Besides, with fuzzy meta association rule based on hierarchy theory, fusion algorithm of fuzzy meta association rule for language fuzziness of business English in Hotel Majors with different development degree has been constructed. Eventually, effectiveness of the algorithm is verified through stimulation experiment.

Keywords

Hotel Majors, Business English, Fuzziness, Meta association rule