A rule based system is a special type of expert system which consists of a set of rules. In practice, rule based systems can be built by using expert knowledge or learning from real data. Due to the vast and increasing size of data, the latter approach has become quite popular for building rule based systems. In particular, rule based systems can be built through use of rule learning algorithms, which can be based on statistical heuristics or random basis. This paper focuses on deterministic approaches for classification. This paper also features fuzzy approaches for modelling tasks. In general, this paper is mainly concerned with rule based systems that have a single rule base. However, some of the contents that relate to fuzzy approaches also include some concepts of multiple rule bases.
|Title of host publication
|Proceedings of the 8th IEEE International Conference on Intelligent Systems
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 10 Nov 2016
|2016 IEEE International Conference on Intelligent Systems - Sofia, Bulgaria
Duration: 4 Sept 2016 → 6 Sept 2016
Conference number: 8
|2016 IEEE International Conference on Intelligent Systems
|4/09/16 → 6/09/16
- rule based systems
- rule based networks
- data mining
- machine learning
- rule learning