Fuzzy set theory has been used to handle uncertainty in various aspects of image processing, pattern recognition and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its natural language capabilities. Scene description, a language-based interpretation of regions and their relationships, is one such application that has used fuzzy sets with some success. This paper extends our earlier and on-going work in scene description in the following sense. If we have a linguistic description (from the system or from a human), and we revisit the scene, perhaps from a different orientation, can we match the scene objects and their relationships to be confident that we are indeed in the same place. We develop a scene matching methodology to accomplish this using histograms of forces between objects.