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An approach to fuse multiple images based on fuzzy feature representation and evidential reasoning is proposed in this article. Fuzzy set and Dempster-Shafer theory provides a complete framework to describe information naturally and combine weak evidence from multiple sources. Such situations typically arise in the image fusion problems, where a 'real scene' image has to be estimated from incomplete and unreliable observations. By converting images from their spatial domain into the fuzzy evidential representations, decisions are made to aggregate evidence such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.