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EN
The paper is devoted to the bankruptcy prediction problem. Analyzed concept is the usage of Maximum Margin Fuzzy Classifiers. The article gives a brief overview of approaches used for the purpose of bankruptcy prediction. The most important theoretical aspects of MMFC method are presented. The final part contains results and conclusions of a study on real-world data regarding Warsaw Stock Exchange companies.
EN
The aim of the paper is to compare accuracy of some bankruptcy prediction models based on Bayesian networks. Some network structure learning algorithms were analyzed as a tool for classifiers construction. Empirical analysis was applied to companies listed on Warsaw Stock Exchange. The paper gives short overview of theoretical background behind discussed issues and presents results of empirical analysis.
EN
The article discusses the subject of road safety by means of the analysis of road traffic accidents with particular emphasis on accidents involving tram fleet in terms of the planned tramway investment program for the years 2008 – 2013 in Silesian Agglomeration. Due to the nature of the location of tracks in the road or in their direct neighborhood, accidents involving tram fleet are included in the majority of road accidents. This article presents a summary of road accidents involving the tram fleet, and their cost compared to all road accidents in the years 2006 - 2008 in Silesia.
EN
The article assesses the possibility of activation of transport and logistics services in relation Silesia – Trieste - Alexandria and by continuation towards India. The increasing demand for transport on this route, where the section will be located onshore in the sixth (and part of fifth) transport corridor and the forecast of traffic on the route for transportation of bulk materials, justify launching intermodal connections there. It is expected that the market for transport in the analyzed route will have significant bulk loads (coal, coke) in the area of Silesia, in the direction to the south of Europe and further by maritime transport to customers in Egypt and India (coke plants, steel mills).
EN
Foresight method is gaining support around the world as a powerful tool that creates common views on future development strategies. It is characterized by a unique feature, which is the maximum participation of stakeholders and experts. The paper presents examples of the results of research carried out based upon the expert methods of foresight procedures. Special attention was paid to different methods of identification and involvement of experts in implementing the projects. The methodology of foresight projects was brought closer, with particular emphasis on those methods which are based on expert knowledge - such as the Delphi technique, panel discussion, brainstorming, STEEP and SWOT analysis methods, public consultation and the scenarios formulation. The result of foresight exploration based on knowledge of experts is the formation of a wide vision of the future development of economy and technology, which helps to make decisions on an effective, long-term strategy of the government, enterprises and scientific institutions. Key words: experts knowledge, foresight.
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