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Document retrieval using fuzzy-valued concept networks.

S M Chen1, Y J Horng, C H Lee

  • 1Dept. of Electron. Eng., Taiwan Univ. of Sci. & Technol., Taipei.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 5, 2008
PubMed
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This study introduces fuzzy-valued concept networks for document retrieval, enhancing flexibility with arbitrary fuzzy numbers for concept relationships and user queries. This approach improves information retrieval system performance.

Area of Science:

  • Information Science
  • Computer Science
  • Artificial Intelligence

Background:

  • Traditional information retrieval systems often struggle with the ambiguity and imprecision inherent in natural language.
  • Fuzzy logic offers a powerful framework for handling uncertainty, but its application in document retrieval requires robust network structures.

Purpose of the Study:

  • To propose a novel document retrieval method utilizing fuzzy-valued concept networks.
  • To enhance the flexibility and precision of information retrieval systems by incorporating arbitrary fuzzy numbers and flexible query formulations.

Main Methods:

  • Developed fuzzy-valued concept networks where concept relevance and relationships are modeled using arbitrary shapes of fuzzy numbers.
  • Employed relevant matrices and relationship matrices to represent the fuzzy-valued concept network structure.

Related Experiment Videos

  • Enabled user queries to be represented by fuzzy numbers, supporting fuzzy positive and negative associations for flexible retrieval.

    • Main Results:

    • Demonstrated the capability of fuzzy-valued concept networks to model complex relationships between concepts with arbitrary fuzzy numbers.
    • Showcased the enhanced flexibility in query formulation through fuzzy associations, leading to more adaptable information retrieval.
    • Presented a network-type fuzzy-valued concept network architecture for internet-based information retrieval.

    Conclusions:

    • Fuzzy-valued concept networks provide a flexible and effective approach to document retrieval, particularly in handling imprecise information.
    • The proposed method enhances information retrieval systems by allowing for nuanced representation of concept relevance and user query intent.
    • This research contributes to the advancement of intelligent information retrieval systems in the internet environment.