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Fuzzy set approach to assessing similarity of categorical maps
For the evaluation of results from remote sensing and high-resolution spatial models it is
often necessary to assess the similarity of sets of maps. This paper describes a method to …
often necessary to assess the similarity of sets of maps. This paper describes a method to …
[کتاب][B] Similarity and compatibility in fuzzy set theory: assessment and applications
VV Cross, TA Sudkamp - 2013 - books.google.com
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 …
similar or compatible is a fundamental component of human reasoning and consequently is …
How precise are our quantitative structure–activity relationship derived predictions for new query chemicals?
Quantitative structure–activity relationship (QSAR) models have long been used for making
predictions and data gap filling in diverse fields including medicinal chemistry, predictive …
predictions and data gap filling in diverse fields including medicinal chemistry, predictive …
Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations
In this paper, we initially present and compile the tools and theories that are necessary for a
Rough Set analysis of a general type of fuzzy data. From this study, we have developed two …
Rough Set analysis of a general type of fuzzy data. From this study, we have developed two …
[کتاب][B] Fuzzy image processing and applications with MATLAB
In contrast to classical image analysis methods that employ" crisp" mathematics, fuzzy set
techniques provide an elegant foundation and a set of rich methodologies for diverse image …
techniques provide an elegant foundation and a set of rich methodologies for diverse image …
On the transitivity of a parametric family of cardinality-based similarity measures
We introduce a parametric family of cardinality-based similarity measures for ordinary sets
(on a finite universe) harbouring numerous well-known similarity measures. We characterize …
(on a finite universe) harbouring numerous well-known similarity measures. We characterize …
A new nearest neighbor classification method based on fuzzy set theory and aggregation operators
Abstract The Fuzzy Nearest Neighbor Classification (FuzzyNNC) has been successfully
used, as a tool to deal with supervised classification problems. It has significantly increased …
used, as a tool to deal with supervised classification problems. It has significantly increased …
Detection of moving objects using multi-channel kernel fuzzy correlogram based background subtraction
In this paper, we examine the suitability of correlogram for background subtraction, as a step
towards moving object detection. Correlogram captures inter-pixel relationships in a region …
towards moving object detection. Correlogram captures inter-pixel relationships in a region …
Integrating fuzzy logic and statistics to improve the reliable delimitation of biogeographic regions and transition zones
This study uses the amphibian species of the Mediterranean basin to develop a consistent
procedure based on fuzzy sets with which biogeographic regions and biotic transition zones …
procedure based on fuzzy sets with which biogeographic regions and biotic transition zones …
Similarity relation matrix-based color edge detection
A novel edge detection algorithm for color images was described in this paper. In the
proposed method, smoothness of each pixel in color image is firstly calculated by means of …
proposed method, smoothness of each pixel in color image is firstly calculated by means of …