Bird information retrieval using fuzzy semantic concepts

This paper describes the bird information retrieval system using the fuzzy semantic concepts. To deal with the uncertainty, fuzzy logic is often used to provide a convenient tool for interfacing linguistic categories with numerical data and for expressing one user's preferences in a gradual and qualitative way. Based on this idea, we can develop a fuzzy semantic query model that formulates a query by using a natural language like process. The proposed system has the capability to deal with problems that are beyond the reach of existing key-word-based techniques as it more of a strategy than a precise methodology in handling uncertainty problems. The key feature of this approach are providing a systematic query process in an environment of impression, uncertainty, and partial truth supporting numerous weighting factors for users to achieve a desired target and developing a friendly interface that is easy for users to form a query.