Theoretical Computer Science
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
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)
Hi-index | 0.00 |
The aim of this paper is to introduce three approaches to near sets by using a multi-valued system. Some fundamental properties and characterizations are given. We obtain a comparison among these types of approximations. The contribution of this paper is to form basis for the discovery of perceptual objects that are descriptively near each other.