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Applying Soft Computing in Defining Spatial Relations
 
 
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Applying Soft Computing in Defining Spatial Relations [Hardcover]

Pascal Matsakis (Editor), Les M. Sztandera (Editor)

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Book Description

Studies in Fuzziness and Soft Computing October 28, 2002
Geometric properties and relations play central roles in the description and processing of spatial data. The properties and relations studied by mathematicians usually have precise definitions, but verbal descriptions often involve imprecisely defined concepts such as elongatedness or proximity. The methods used in soft computing provide a framework for formulating and manipulating such concepts. This volume contains eight papers on the soft definition and manipulation of spatial relations and gives a comprehensive summary on the subject.

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Inside This Book (learn more)
First Sentence:
Researchers in artificial intelligence have been arguing successfully that human reasoning about space is of a qualitative nature in most everyday situations and that therefore computer systems should support such a form of reasoning (see, e.g., [20]). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
total node weights, approximate linguistic terms, dominance membership functions, spatial fuzzy sets, fuzzy spatial relations, topological relation set, fuzzy dilation, force histograms, spatial imprecision, nearest point distance, fuzzy constraint network, conceptual neighbors, crisp objects, qualitative spatial relations, perceptual range, fuzzy union, fuzzy knowledge, positional relations, crisp case, qualitative distance, fuzzy objects, fuzzy intersection, scene matching, directional relations, path composition
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Experiment Two, Experiment One, Academic Press, Ecological Modelling, Fuzzy Relative Position, Information Sciences, The Netherlands, College Park, New Orleans, New York, San Mateo, Segmented Images, Tulane University
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