Fundamentals of pattern recognition (2nd revised and expanded ed.)
Fundamentals of pattern recognition (2nd revised and expanded ed.)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Databases with Incomplete Information
Journal of the ACM (JACM)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Handbook of Pattern Recognition and Computer Vision
Handbook of Pattern Recognition and Computer Vision
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Nearness of Objects: Extension of Approximation Space Model
Fundamenta Informaticae - Special Issue on Concurrency Specification and Programming (CS&P)
Biologically-inspired adaptive learning control strategies: A rough set approach
International Journal of Hybrid Intelligent Systems
Biologically-Inspired Adaptive Learning: A Near Set Approach
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Adaptive image retrieval based on the spatial organization of colors
Computer Vision and Image Understanding
Tolerance Classes in Measuring Image Resemblance
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Feature selection: near set approach
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Tolerance near sets and image correspondence
International Journal of Bio-Inspired Computation
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Actor Critic Learning: A Near Set Approach
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach
Fundamenta Informaticae - Swarm Intelligence
Tolerance Classes in Measuring Image Resemblance
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Grill Determined L-Approach Merotopological Spaces
Fundamenta Informaticae
International Journal of Bio-Inspired Computation
Tolerance near sets and image correspondence
International Journal of Bio-Inspired Computation
Corrigenda and addenda: tolerance near sets and image correspondence
International Journal of Bio-Inspired Computation
Perceptual tolerance intersection
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Perceptually near pawlak partitions
Transactions on rough sets XII
Perceptual tolerance intersection
Transactions on rough sets XIII
Nature-inspired framework for measuring visual image resemblance: A near rough set approach
Theoretical Computer Science
Sufficiently near sets of neighbourhoods
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Parallel computation in finding near neighbourhoods
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Nearness of subtly different digital images
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
A generalization of near set model
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Gauges, pregauges and completions: some theoretical aspects of near and rough set approaches to data
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Nearness approximation space based on axiomatic fuzzy sets
International Journal of Approximate Reasoning
Tolerance spaces: Origins, theoretical aspects and applications
Information Sciences: an International Journal
Associated near sets of distance functions in pattern analysis
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Multiscale roughness measure for color image segmentation
Information Sciences: an International Journal
Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis
Transactions on Rough Sets XV
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach
Fundamenta Informaticae - Swarm Intelligence
A characterization of rough separability
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Development of Near Sets Within the Framework of Axiomatic Fuzzy Sets
Fundamenta Informaticae
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Transactions on Rough Sets XVI
Nearness of subtly different digital images
Transactions on Rough Sets XVI
Maximal clique enumeration in finding near neighbourhoods
Transactions on Rough Sets XVI
Sufficiently Near Neighbourhoods of Points in Flow Graphs. A Near Set Approach
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
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This paper introduces an approach to the foundations of information science considered in the context of near sets. Perceptual information systems (or, more concisely, perceptual systems) provide stepping stones leading to nearness relations, near sets and a framework for classifying perceptual objects. This work has been motivated by an interest in finding a solution to the problem of how one goes about discovering affinities between perceptual granules such as images. Near set theory provides a formal basis for observation, comparison and classification of perceptual granules. This is made clear in this article by considering various nearness relations that define coverings of sets of perceptual objects that are near each other. In the near set approach, every perceptual granule is a set of objects that have their origin in the physical world. Objects that have, in some degree, affinities are considered perceptually near each other, i.e., objects with similar descriptions. This article includes a comparison of near sets with other approaches to approximate knowledge representation and a sample application in image analysis. The main contribution of this article is the introduction of a formal foundation for near sets and a demonstration that the family of near sets is a Gratzer slash lattice.