Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

We distinguish two types of metric for the evaluation of rule-based learning systems: performance metrics are derived from the feedback to the learning agent from its teacher or environment, while population state metrics are derived from inspection of the rule base used for decision making. We propose novel population state metrics for use with learning classifier systems, evaluate them using ...

We present the results and analysis of our chemical structure recognition system, MolRec, in the CLEF 2012 chemical structure recognition task. MolRec analyses a diagram image, extracts vectorised components from the image and applies a rule based system to construct an internal representation of the chemical structure. This internal representation can then be exported to MOL or SMILE format. T...

in introducing automated, model-based diagnostic technologies into industrial settings. In particular, I discuss the competition that this technology has been receiving from handcrafted, rule-based diagnostic systems that has set some high standards that must be met by model-based systems before they can be viewed as viable alternatives. The battle between model-based and rulebased approaches t...

A complex sentence, divided into clauses, can be analyzed more easily than the complex sentence itself. We present here, the task of identification and classification of clauses in Hindi text. To the best of our knowledge, not much work has been done on clause boundary identification for Hindi, which makes this task more important. We have built a rule based system using linguistic cues such as...

In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.

In this article, we present the first step of our research work to design a Virtual Assistant for Performers and Stage Directors, able to give a feedback from performances. We use a methodology to automatically construct fuzzy rules in a Fuzzy Rule-Based System that detects contextual emotions from an actor's performance during a show. We collect video data from a lot of performances of the sam...

We had previously developed and implemented a pharmacy expert system (DoseRanger) that examines drug orders for appropriate single dosage using a commercial rule base and patient specific information. A set of rule adjustments were described and evaluated in order to reduce clinically insignificant alerts. A similar analysis has been performed for daily dose rules provided by the commercial rul...

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Neuro-fuzzy systems have recently gained a lot of interest in research and application. These are approaches that learn fuzzy systems from data. Many of them use rule weights for this task. In this paper we discuss the innuence of rule weights on the interpretability of fuzzy systems. We show how rule weights can be equivalently replaced by modiications in the membership functions of a fuzzy sy...