Information fusion in computer vision using the fuzzy integral

1990/01/01 by H. Tahani, Hossein Tahani, James M. Keller +1 · 420 citations
Computer Science · Decision Sciences · Engineering · #Artificial intelligence #Computer science #Computer vision #Data mining #Face and Expression Recognition #Function (biology) #Fusion #Fuzzy logic #Information fusion #Linguistics #Multi-Criteria Decision Making #Object (grammar) #Remote-Sensing Image Classification #Sensor fusion

paper · doi:10.1109/21.57289

published in IEEE Transactions on Systems Man and Cybernetics 20(3), 733-741 (Institute of Electrical and Electronics Engineers)

openalex publication_date 1990/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

A method of evidence fusion, based on the fuzzy integral, is developed. This technique nonlinearly combines objective evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect to the decision. Various new theoretical properties of this technique are developed, and its applicability to information fusion in computer vision is demonstrated through simulation and with object recognition data from forward-looking infrared imagery.>

Citations

• A fuzzy K-nearest neighbor algorithm

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