A fuzzy query mechanism for human resource websites

Lien Fu Lai, Chao Chin Wu, Liang Tsung Huang, Jung Chih Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings
Pages579-589
Number of pages11
DOIs
Publication statusPublished - 2009 Dec 14
EventInternational Conference on Artificial Intelligence and Computational Intelligence, AICI 2009 - Shanghai, China
Duration: 2009 Nov 72009 Nov 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5855 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
CountryChina
CityShanghai
Period09-11-0709-11-08

Fingerprint

Fuzzy Query
Human Resources
Websites
Personnel
Query languages
User Preferences
Fuzzy logic
Fuzzy Weighted Average
Fuzzy Databases
Fuzzy Data
Imprecision
Query Language
Differentiate
Fuzzy Logic
Query
Uncertainty
Requirements

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lai, L. F., Wu, C. C., Huang, L. T., & Kuo, J. C. (2009). A fuzzy query mechanism for human resource websites. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings (pp. 579-589). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5855 LNAI). https://doi.org/10.1007/978-3-642-05253-8_64
Lai, Lien Fu ; Wu, Chao Chin ; Huang, Liang Tsung ; Kuo, Jung Chih. / A fuzzy query mechanism for human resource websites. Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings. 2009. pp. 579-589 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Lai, LF, Wu, CC, Huang, LT & Kuo, JC 2009, A fuzzy query mechanism for human resource websites. in Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5855 LNAI, pp. 579-589, International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, Shanghai, China, 09-11-07. https://doi.org/10.1007/978-3-642-05253-8_64

A fuzzy query mechanism for human resource websites. / Lai, Lien Fu; Wu, Chao Chin; Huang, Liang Tsung; Kuo, Jung Chih.

Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings. 2009. p. 579-589 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5855 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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Lai LF, Wu CC, Huang LT, Kuo JC. A fuzzy query mechanism for human resource websites. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings. 2009. p. 579-589. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-05253-8_64