Titlebook: Applying Soft Computing in Defining Spatial Relations; Pascal Matsakis,Les M. Sztandera Book 2002 Springer-Verlag Berlin Heidelberg 2002 C

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https://doi.org/10.1007/978-3-030-79860-4stic terms to describe spatial objects and spatial relations. For instance, in “The flash flood in October of 1988 nearly completely flooded downtown San Marcos,” the term “nearly completely” is approximate in nature. The second type of fuzziness is due to the indeterminate nature of the boundaries

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Pascal Matsakis,Les M. SztanderaIncludes supplementary material:

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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/b/image/160268.jpg

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Fuzzifying Spatial Relations,n, but also does it structure all our activities and relationships with the external world. Space serves as the basis for many metaphors, including temporal metaphors. It is inherently more complex than time, because it is multidimensional and epistemologically multiple..The way humans often deal wi

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Spatial Relations Based on Dominance of Fuzzy Sets, between two objects, for example “B is to the right of A,” or “B is in front of A,” but this has turned out to be a somewhat illusive task for automation. When the objects in a scene are represented by crisp sets, the all-or-nothing definitions of the subsets actually add to the problem of generati

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Mathematical Morphology and Spatial Relationships: Quantitative, Semi-Quantitative and Symbolic Setso deals with more global and structural information since several spatial relationships can be expressed in terms of morphological operations (mainly dilations). The aim of this paper is to show that this framework allows to represent in a unified way spatial relationships in various settings: a pu

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