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EN
The aim of this study is to apply and evaluate the usefulness of the hybrid classifier to predict the presence of serious coronary artery disease based on clinical data and 24-hour Holter ECG monitoring. Our approach relies on an ensemble classifier applying the distributivity equation aggregating base classifiers accordingly. Such a method may be helpful for physicians in the management of patients with coronary artery disease, in particular in the face of limited access to invasive diagnostic tests, i.e., coronary angiography, or in the case of contraindications to its performance. The paper includes results of experiments performed on medical data obtained from the Department of Internal Medicine, Jagiellonian University Medical College, Kraków, Poland. The data set contains clinical data, data from Holter ECG (24-hour ECG monitoring), and coronary angiography. A leave-one-out cross-validation technique is used for the performance evaluation of the classifiers on a data set using the WEKA (Waikato Environment for Knowledge Analysis) tool. We present the results of comparing our hybrid algorithm created from aggregation with the distributive equation of selected classification algorithms (multilayer perceptron network, support vector machine, k-nearest neighbors, naïve Bayes, and random forests) with themselves on raw data.
EN
Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.
PL
W pracy omówiono koncepcję ogólnej oceny cyklu życia (Life Cycle Total Assessment - LCTA) obiektu infrastruktury. Celem zaproponowanej procedury, będącej modyfikacją metody ELMA, jest dokonanie wielokryterialnego optymalnego wyboru wariantu obiektu. Przedyskutowano rozwiązanie odpowiednio sformułowanego problemu analizy wieloatrybutowej za pomocą maksymalizacji użyteczności, podając liczne mankamenty i ograniczenia stosowania tej metody; z tychże względów należałoby - być może - poszukiwać innej funkcji agregacji aniżeli funkcja użyteczności. Stwierdzono, iż nie zaleca się określania wskaźnika LCTA za pomocą addytywnej funkcji kompromisu oraz że dyskusyjne jest wyrażanie tej oceny za pomocąjednego wskaźnika liczbowego.
EN
Conception of Life Cycle Total Assessment (LCTA) of an infrastructure object as the conception of multiple criteria decision making, has been presented in this paper. The method concerns selection of a best variant of the infrastructure object. Solution of multiattributive analysis appropriate problem by means of utility maximization, has been also discussed. Determination of LCTA Index by means of compromise function in the additive form has not been recommended.
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