A neuro-fuzzy method to learn fuzzy classification rules from data
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
Classification of unseen examples under uncertainty
Fundamenta Informaticae - Special issue: intelligent information systems
Rough mereological foundations for design, analysis, synthesis, and control in distributed systems
Information Sciences: an International Journal - From rough sets to soft computing
Object-Oriented Software Construction
Object-Oriented Software Construction
| Hi-index | 0.00 |
This paper presents the RClass system, which was designed as a tool for data validation and the classification of uncertain information. This system uses rough set theory based methods to allow handling uncertain information. Some of proposed classification algorithms also employ fuzzy set theory in order to increase a classification quality. The knowledge base of the RClass system is expressed as a deterministic or nondeterministic decision table with quantitative or qualitative values of attributes, and can be imported from standard databases or text files.