Relations algebras in qualitative spatial reasoning
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Qualitative Spatial Reasoning: Theory and Practice: Application to Robot Navigation
Qualitative Spatial Reasoning: Theory and Practice: Application to Robot Navigation
Towards Discovery of Information Granules
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Information Granules in Distributed Environment
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
A bibliography of temporal, spatial and spatio-temporal data mining research
ACM SIGKDD Explorations Newsletter
Acquisition of qualitative spatial representation by visual observation
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Computing with Words in Information/Intelligent Systems 2: Applications
Computing with Words in Information/Intelligent Systems 2: Applications
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
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The aim of the paper is to present an outline of granular computing framework for spatial reasoning. In our previous papers we have discussed basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similarity) relations of granules. Different information sources (units, agents) are equipped with two kinds of operations on information granules: operations possessed by agents transforming tuples of information granules into new granules and approximation operations for computing by agents information granule approximations delivered by other agents. More complex granules axe constructed by means of these operations from some input information granules.