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

Concave

書目名稱Applying Soft Computing in Defining Spatial Relations影響因子(影響力)




書目名稱Applying Soft Computing in Defining Spatial Relations影響因子(影響力)學科排名




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書目名稱Applying Soft Computing in Defining Spatial Relations被引頻次




書目名稱Applying Soft Computing in Defining Spatial Relations被引頻次學科排名




書目名稱Applying Soft Computing in Defining Spatial Relations年度引用




書目名稱Applying Soft Computing in Defining Spatial Relations年度引用學科排名




書目名稱Applying Soft Computing in Defining Spatial Relations讀者反饋




書目名稱Applying Soft Computing in Defining Spatial Relations讀者反饋學科排名

珍奇

https://doi.org/10.1007/978-3-322-88448-0s to project the fuzzy subsets onto two orthogonal coordinate axes and to utilize fuzzy set theoretic dominance relations to capture the approximate relationships. Simulation results are provided to corroborate the theory.

搬運工

grieve

燒烤

Evolve

Understanding the Spatial Organization of Image Regions by Means of Force Histograms: A Guided Tourd by fuzzy relations. They can also be used for scene description, where relative positions are represented by linguistic expressions. This chapter reviews and classifies work on the histogram of forces. It touches topics as varied as human-robot communication and spatial indexing mechanisms for medical image databases.

制定法律

高原

Path Composition of Positional Relations Integrating Qualitative and Fuzzy Knowledge,ional relations, that is, the composition of two relations, if iterated over a path of several intermediate positions, introduces too much indeterminacy in the result. If the algorithms for composition take into account fuzzy knowledge, the latter effect is considerably reduced, obtaining an indication of the degree of likelihood of the result.

Retrieval

遺產(chǎn)