ABSTRACT This work reports on a study on the feasibility of applying" weighted estimator of a com... more ABSTRACT This work reports on a study on the feasibility of applying" weighted estimator of a common correlation" technique to software measurement data. This technique is a metaanalytical approach to generalizing the knowledge from individual statistical studies. The technique is applied on a data set of 100 public domain Java projects to determine if it is possible to generalize project-specific significant correlations. The results of the experiment show that the technique avoids both type I and type II errors.
Abstract—Granular Computing arose as a synthesis of insights into human-centred information proce... more Abstract—Granular Computing arose as a synthesis of insights into human-centred information processing by Zadeh in the late'90s and the Granular Computing name was coined, at this early stage, by TY Lin. Although the name is now in widespread use, or perhaps because of it, there are calls for a clarification of the distinctiveness of Granular Computing against the background of other human-centred information processing paradigms.
1 ABSTRACT Self-organising maps (SOMs) are proposed as an interactive, user-friendly tool that he... more 1 ABSTRACT Self-organising maps (SOMs) are proposed as an interactive, user-friendly tool that helps to develop a deep insight into the structure of the visually formed information granules. The rationale for this approach is founded on the following:• The unsupervised learning neural network architecture;• Visualisation of highly-dimensional data that provides basis for human interaction in delineating boundaries of information granules;
This paper presents an unsupervised hierarchical segmentation method for multi-phase images based... more This paper presents an unsupervised hierarchical segmentation method for multi-phase images based on a single level set (2-phase) method and the semi-implicit additive operator splitting (AOS) scheme which is stable, fast, and easy to implement. The method successively segments image subregions found at each step of the hierarchy using a decision criterion based on the variance of intensity across the current subregion. The segmentation continues until a specified number of levels has been reached.
Fuzzy Cognitive Maps (FCMs) were originally introduced by Kosko [11] in 1986 as an extension of c... more Fuzzy Cognitive Maps (FCMs) were originally introduced by Kosko [11] in 1986 as an extension of cognitive maps. They are a convenient modeling tool, usually categorized as a neuro-fuzzy method, for modeling and simulation of dynamic systems. One of their main advantages is an ability to incorporate and adapt human knowledge [18].
Abstract With the increased interest in application of all kinds of software systems, understandi... more Abstract With the increased interest in application of all kinds of software systems, understanding and controlling software development processes have gained increasing importance. One of the main goals, in this sense, is to build robust descriptive statistical models that would characterize them in the best possible way. However, individual experimental studies that form the basis of these models often produce different results. Consequently, the resulting models tend to differ substantially.
Relevance and consistency in rule-based systems Witold Pedrycz* and George Vukovich** *Department... more Relevance and consistency in rule-based systems Witold Pedrycz* and George Vukovich** *Department of Electrical & Computer Engineering University of Alberta, Edmonton, Canada ([email protected]) and Systems Research Institute, Polish Academy of Sciences 01-447 Warsaw, Poland and **Canadian Space Agency, Spacecraft Engineering 6767 Route de l'Aéroport Saint-Hubert, Quebec J3Y 8Y9, Canada Abstract We discuss a problem of synthesis and analysis of rules based on experimental numeric data.
This study introduces new aspects of phase transition in two new hybrid intelligent systems calle... more This study introduces new aspects of phase transition in two new hybrid intelligent systems called Self-Organizing Neuro-Fuzzy Inference System (SONFIS) and Self-Organizing Rough SeT (SORST). We show how our algorithms can be taken as a linkage of government-society interaction, where government catches various states of behaviors:“solid (absolute-oppressive) or flexible (democratic)”.
Evolutionary development of fuzzy cognitive maps
Abstract Fuzzy cognitive maps (FCMs) form a convenient, simple, and powerful tool for simulation ... more Abstract Fuzzy cognitive maps (FCMs) form a convenient, simple, and powerful tool for simulation and analysis of dynamic systems. The popularity of FCMs stems from their simplicity and transparency. While being successful in a variety of application domains, FCMs are hindered by necessity of involving domain experts to develop the model. Since human experts are subjective and can handle only relatively simple networks (maps), there is an urgent need to develop methods for automated generation of FCM models.
Abstract The study is devoted to a granular analysis of data. We develop a new clustering algorit... more Abstract The study is devoted to a granular analysis of data. We develop a new clustering algorithm that organizes findings about data in the form of a collection of information granules-hyperboxes. The clustering carried out here is an example of a granulation mechanism. We discuss a compatibility measure guiding a construction (growth) of the clusters and explain a rationale behind their development.
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Papers by Witold Pedrycz