JISE


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Journal of Information Science and Engineering, Vol. 34 No. 6, pp. 1633-1653


An Efficient Mechanism for Compensating Vague Pattern Identification in Support of a Multi-Criteria Recommendation System


YI-CHUNG CHEN1 AND CHIANG LEE2
1Department of Industrial Engineering and Management
National Yunlin University of Science and Technology
Yunlin, 640 Taiwan

2Department of Computer Science and Information Engineering
National Cheng Kung University
Tainan, 701 Taiwan
E-mail: chenyich@yuntech.edu.tw; leec@mail.ncku.edu.tw


A vague pattern usually makes the result of pattern identification specious. Most existing identification algorithms try to upgrade their identification accuracies by improving the clearness of the vague pattern. However, this improvement can be limited due to the poor quality of the pattern itself. Hence, the identification result can still be untrustworthy and thus a user needs to repeat the algorithm to find another possible answer, which can be quite time-consuming. In this paper, we propose a novel pattern recommendation mechanism which is able to obtain multiple highly possible answers from a large datapool based on a given vague pattern. By using the identification algorithm only one time, a user can select a correct identification answer from these candidates given by the recommendation system. Three strategies are proposed in this paper. Experiments are performed to demonstrate the effectiveness and efficiency of the proposed mechanism.


Keywords: pattern identification, vague pattern, recommendation mechanism, multi-criteria search, R-tree

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