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Fuzzy rule interpolation (FRI) is a well established area for reducing the complexity of fuzzy models and for making inference possible in sparse rule-based systems. Regardless of the actual FRI approach employed, the interpolative reasoning process generally produces a large number of interpolated rules, which are then discarded as soon as the required outcomes have been obtained. However, these...
Rapid development in wireless sensor device manufacture technologies has made it possible to conglutinate and implant the medical sensors on human body. The improvement of these technologies can be applied to wireless body area network (WBAN) on medical applications. A uniform standard in the field of WBAN, IEEE 802.15.6 has been released recently by IEEE 802.15 TG 6 group, indicating that WBAN will...
The automated generation of feature pattern based if-then rules is essential to the success of many intelligent pattern classifiers, especially when their inference results are expected to be directly human-comprehensible. Fuzzy and rough set theories have been applied with much success to this area as well as to feature selection. Both applications involve the use of equivalence classes for a successful...
Classifier ensembles constitute one of the main research directions in machine learning and data mining. Ensembles allow higher accuracy to be achieved which is otherwise often not achievable with a single classifier. A number of approaches have been adopted for constructing classifier ensembles and aggregate ensemble decisions. In most cases, these constructed ensembles contain redundant members...
Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. This paper proposes a number of deterministic parameter control rules to fine-tune these parameters individually and dynamically, making Harmony Search a more dynamic algorithm...
Many search strategies have been exploited in implementing feature selection, in an effort to identify smaller and better subsets. Such work typically involves the use of heuristics in one form or another. In this paper two novel methods are presented by applying harmony search to feature selection. In particular, it demonstrates the potential of utilising this search mechanism in combination with...
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