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.
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References
Chang, P.T., Hung, K.C., Lin, K.P., Chang, C.H.: A Comparison of Discrete Algorithms for Fuzzy Weighted Average. IEEE Transactions on Fuzzy Systems 14(5), 663–675 (2006)
Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications, New York, London (1980)
Galindo, J., Urrutia, A., Piattini, M.: Fuzzy Databases: Modeling, Design and Implementation. Idea Group Publishing, Hershey (2005)
Guu, S.M.: Fuzzy Weighted Averages Revisited. Fuzzy Sets and Systems 126, 411–414 (2002)
Kao, C., Liu, S.T.: Competitiveness of Manufacturing Firms: An Application of Fuzzy Weighted Average. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans 29(6), 661–667 (1999)
Kaufmann, A., Gupta, M.M.: Introduction to Fuzzy Arithmetic: Theory and Applications. Van Nostrand Reinhold, New York (1985)
Lai, Y.J., Hwang, C.L.: Fuzzy Mathematical Programming, Methods and Applications. Springer, Heidelberg (1992)
Ngai, E.W.T., Wat, F.K.T.: Fuzzy Decision Support System for Risk Analysis in E-Commerce Development. Decision Support Systems 40(2), 235–255 (2005)
Tseng, T.Y., Klein, C.M.: A New Algorithm for Fuzzy Multicriteria Decision Making. International Journal of Approximate Reasoning 6, 45–66 (1992)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Zimmermann, H.J.: Fuzzy Set Theory and Its Applications, 2nd revised edn. Kluwer Academic Publishers, Dordrecht (1991)
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Lai, LF., Wu, CC., Huang, LT., Kuo, JC. (2009). A Fuzzy Query Mechanism for Human Resource Websites. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_64
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DOI: https://doi.org/10.1007/978-3-642-05253-8_64
Publisher Name: Springer, Berlin, Heidelberg
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