In this paper, a method based on the particle swarm optimization (PSO) is proposed for pattern classification to select a fuzzy classification system with an appropriate number of fuzzy rules so that the number of incorrectly classified patterns is minimized. In the PSO-based method, each individual in the population is considered to automatically generate a fuzzy classification system for an M...

In the Fourth Open Hypermedia Systems workshop, the authors presented scenarios and a set of prototype tools to explore the application of open hypermedia principles, including content-based navigation, to temporal media. The purpose of the current paper is to provide an update on this work, focussing in particular on the ongoing work on content based navigation of music. We describe the develo...

CSCW systems are widely used for group activities in different organizations and setups. This study briefly describes the existing classifications of CSCW systems and their shortcomings. These existing classifications are helpful to categorize systems based on a general set of CSCW characteristics but do not provide any guidance towards system design and evaluation. After literature review of A...

D eveloping and using various component forms as building blocks can significantly enhance software-based system development and use, which is why both the academic and commercial sectors have shown interest in component-based software development. Indeed, much effort has been devoted to defining and describing the terms and concepts involved. Briefly, we describe software components as units o...

The ‘hnique selling point” of fuzzy systems is usually the interpretability of its rule base. However, very often only the U C C U T U C ~ of the rule base is measured and used to compare a fuzzy system to other solutions. We have suggested an index to measurz the interpretability of fuzzy rule bases for classification problems. However, the index can be used to describe the interpretability of...

In this study, a new model of combining variables affecting the classification of customers is introduced which is based on a distribution system of goods and services. Given the problems that the RFM model has in various distribution systems, a new model for resolving these problems is presented. The core of this model is the older RFM. The new model that has been proposed as PRFM, consists of...