In spatial reasoning, relationships between spatial entities play a major role. In image
interpretation, computer vision and structural recognition, the management of imperfect …

The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

This book discusses the fundamentals of land-use and land-cover characterization,
map**, and monitoring using remote sensing technology. After covering the basic …

This paper is an introduction to fuzzy set theory. It has several purposes. First, it tries to
explain the emergence of fuzzy sets from an historical perspective. Looking back to the …

Assessing the degree to which two objects, an object and a query, or two concepts are
similar or compatible is a fundamental component of human reasoning and consequently is …

To measure the difference of two fuzzy sets/intuitionistic sets, we can use the distance
measure and dissimilarity measure between fuzzy sets. Characterization of …

This paper proposesa classification of fuzzy distances with respect to the requirements
needed for applications in image processing under imprecision. We distinguish, on the one …

Similarity measures aim at quantifying the extent to which objects resemble each other.
Many techniques in data mining, data analysis or information retrieval require a similarity …

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Characterization of dissimilarity/divergence between intuitionistic fuzzy sets (IFSs) is
important as it has applications in different areas including image segmentation and …