......................................................................................................................... iii Acknowledgements ....................................................................................................... iv Dedication....................................................................................................................... v List of Tables ...

Nodes in sensor networks can be easily compromised by an adversary due to hostile environments in which compromised nodes could be used to inject false reports into the network. The dynamic en-route scheme can detect and drop such false reports during the forwarding phase. In this scheme, choosing a threshold value is important as this gives a trade off between security of power and energy cons...

Support Vector Machines (SVM) have demonstrated their ability in solving classification problems in an optimal way with a solid mathematical background. In this paper we improve the interpretability of SVM’s by showing that every SVM is exactly represented by a Fuzzy Rule BasedSystem, for every kernel function used. Nevertheless, this system is in some way compact in their rules and for that re...

In this work we consider a very general principle for fuzzy rule interpolation methods based on an interpretation of the generalized modus ponens rule in terms of closeness relations. Then we present two particular instances of the general principle when the closeness relations are defined from parametric families of similarity fuzzy relations on the input and output spaces. The case of multipl...

In this paper we introduce a new formalism for rule speciication that extends the behaviour of a traditional rule based system and allows the natural development of hybrid trainable systems. The formalism in itself allows a simple and concise speciication of rules and lends itself to the introduction of symbolic rule induction mechanisms (example-based knowledge acquisition) as well as artiicia...

A rule-based, digital, closedloop controller that incorporates “fuzzy” logic has been designed and implemented for the control of power on the 5-MWt Massachusetts Institute of Technology (MIT) Research Reactor under both steady-state and transient conditions. Based on this experience and having designed several other controllers for the same purpose, a comparison is made of the rule-based and a...

Data projection is an important tool in exploratory data analysis. Sammon’s non linear projection method lacks predictability and is ineffective for large data sets. To introduce predictability we implement an extension of Sammon’s algorithm using fuzzy logic approach. The fuzzy based rule model is implemented in the .Net framework using Microsoft Visual Studio with Visual C# as the programming...

Some difficulties emerging during the construction of fuzzy behaviour-based control structures are inherited from the type of the applied fuzzy reasoning. The fuzzy rule base requested for many classical reasoning methods needed to be complete. In case of fetching fuzzy rules directly from expert knowledge e.g. for the behaviour coordination module, the way of building a complete rule base is n...

In the field of classification problems, we often encounter classes with a very different percentage of patterns between them, classes with a high pattern percentage and classes with a low pattern percentage. These problems receive the name of “classification problemswith imbalanced data-sets”. In this paperwe study the behaviour of fuzzy rule based classification systems in the framework of im...