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1
Content available remote About New Version of RSDS System
Suraj Z., Grochowalski P.
Fundamenta Informaticae
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2014
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Vol. 135, nr 4
503--519
EN
The aim of this paper is to present a new version of a bibliographic database system - Rough Set Database System (RSDS). The RSDS system, among others, includes bibliographic descriptions of publications on rough set theory and its applications. This system is also an experimental environment for research related to the processing of bibliographic data using the domain knowledge and the related information retrieval.
2
Content available remote Toward Intelligent Searching the Rough Set Database System (RSDS): an Ontological Approach
Suraj Z., Grochowalski P.
Fundamenta Informaticae
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2010
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Vol. 101, nr 1/2
115-123
EN
Themain goal of this paper is to give the outline of some approach to intelligent searching the Rough Set Database System (RSDS). RSDS is a bibliographical system containing bibliographical descriptions of publications connected with methodology of rough sets and its applications. The presented approach bases on created ontologies which are models for the considered domain (rough set theory, its applications and related fields) and for information about publications coming from, for example, abstracts.
3
Content available remote The Outline of an Ontology for the Rough Set Theory and its Applications
Grochowalski P., Pancerz K.
Fundamenta Informaticae
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2009
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Vol. 93, nr 1-3
143-154
EN
The paper gives the outline of an ontology for the rough set theory and its applications. This ontology will be applied in intelligent searching the Rough Set Database System. A specialized editor from the Protege system is used to define the ontology.
4
Content available remote A Controller Design for the Khepera Robot : A Rough Set Approach
Suraj Z., Peters J. F., Grochowalski P.
Fundamenta Informaticae
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2005
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Vol. 67, nr 1-3
219-231
EN
The Khepera robot belongs to the family of miniature mobile robots of the K-Team firm. It is used in a number of places for scientific and educational purposes. Considering its advantages (such as small size, precision of movement, ease of control), it is applied to testing different approaches in the domain of artificial intelligence. This paper describes the methodology of a control system design for the Khepera robot based on a rough set approach. The proposed approach entails a study of robot behaviour insofar as its movements are influenced by measurements from its sensors and the choice of actions that make it possible for the robot to achieve its system goals. The constructed controller concerns the realization of some tasks such as avoiding the obstacles, reaching a target, following an obstacle, finding the way out of a labyrinth. The proposed controller has been tested on both a robot simulator and on a real robot. Our experimental results show that the proposed rough set methodology can be applied to the design of a controller for the Khepera robot.
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