Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Rough Set Approach to the Survival Analysis
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Granular computing, rough entropy and object extraction
Pattern Recognition Letters
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Nearness of Objects: Extension of Approximation Space Model
Fundamenta Informaticae - Special Issue on Concurrency Specification and Programming (CS&P)
Handbook of Granular Computing
Handbook of Granular Computing
Rough Granular Computing in Knowledge Discovery and Data Mining
Rough Granular Computing in Knowledge Discovery and Data Mining
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
A wistech paradigm for intelligent systems
Transactions on rough sets VI
Rough sets and vague concept approximation: from sample approximation to adaptive learning
Transactions on Rough Sets V
Nearness of Visual Objects. Application of Rough Sets in Proximity Spaces
Fundamenta Informaticae - Concurrency, Specification and Programming
| Hi-index | 0.00 |
In our previous papers, we investigated rough approximations of functions. These approximations are different than considered by Professor Zdzisław Pawlak [13,14]. In particular, our approach allows us to overcome the drawback of the exiting approach that the lower approximations of functions are usually empty. In this paper, we emphasize a possible application of boolean reasoning in inducing of function approximation. This paper is a step toward developing rough calculus and rough granular calculus as an extension of the approach presented in [4,14].