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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11704

Title: A Fuzzy Query Mechanism for Human Resource Websites
Authors: Lai, Lien-Fu;Wu, Chao-Chin;Huang, Liang-Tsung;Kuo, Jung-Chih
Contributors: 資訊工程學系
Keywords: Fuzzy Query;Fuzzy Weighted Average;Human Resource Websites
Date: 2009-11
Issue Date: 2012-07-02T02:02:59Z
Publisher: Springer
Abstract: Users’ preferences often contain imprecision and uncertainty that are difficult for traditional human resource websites to deal with. In this paper, we apply the fuzzy logic theory to develop a fuzzy query mechanism for human resource websites. First, a storing mechanism is proposed to store fuzzy data into conventional database management systems without modifying DBMS models. Second, a fuzzy query language is proposed for users to make fuzzy queries on fuzzy databases. User’s fuzzy requirement can be expressed by a fuzzy query which consists of a set of fuzzy conditions. Third, each fuzzy condition associates with a fuzzy importance to differentiate between fuzzy conditions according to their degrees of importance. Fourth, the fuzzy weighted average is utilized to aggregate all fuzzy conditions based on their degrees of importance and degrees of matching. Through the mutual compensation of all fuzzy conditions, the ordering of query results can be obtained according to user’s preference.
Relation: Lecture Notes in Artificial Intelligence (LNAI 5855): 579-589
Appears in Collections:[資訊工程學系] 期刊論文

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