Hana Stikova - Academia.edu (original) (raw)

Papers by Hana Stikova

Econometric analysis is a non-trivial discipline applied to different areas of an enterprise or e... more Econometric analysis is a non-trivial discipline applied to different areas of an enterprise or economy, in order to express economic reality and anticipate economic phenomena. This requires a great deal of econometric knowledge using a number of sophisticated methods and their good capabilities for correct and high quality interpretation of results. Currently, the intelligent system is a solution that is capable of performing highly complex tasks in the same way as people approach these tasks. In the context of ambient intelligence, it is possible to use personalized, contextual awareness and adaptive attributes for the design of an intelligent econometric system. In our work, we focused on the concept of an intelligent econometric system together with the application of OLAP technology for the creation of interactive analytical outputs. This new concept of the system is presented in an example of a data analysis to derive the forecast from the econometric model by designing a mult...

Business & Information Systems Engineering, 2018

Econometrics is currently one of the most popular approaches to economic analysis. To better supp... more Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new TEM method and design an OLAP application for econometric analysis.

Advances in Intelligent Systems and Computing, 2016

Ambient Intelligence (AmI) is currently a perspective area of development intelligent systems tha... more Ambient Intelligence (AmI) is currently a perspective area of development intelligent systems that react on human presence, their behavior and AmI adapts to requirements based on contextual knowledge. The important issue in the study of AmI is thinking about context-aware preference. In the context of ubiquitous computing technologies there is not any access for users to the system at one point, but in different contexts. This creates need for context-sensitive preferences. The aim of context reasoning is getting new knowledge, so that systems or services were more intelligent. This process is not a trivial problem, so that we propose multidimensional view on context-aware knowledge for support of contextual reasoning. In this paper we introduce a new TCAP procedure for transformation context-aware preference through OLAP in the AmI. The OLAP technology enables us better analyzing contextual dependence on preferences and choosing relevant content for users in the AmI environment.

Business & Information Systems Engineering

Agricultural Economics (Zemědělská ekonomika), 2012

The fuzzy approach to the project network analysis of the project planning and control is commonl... more The fuzzy approach to the project network analysis of the project planning and control is commonly oriented on the fuzzy critical path setting and the project duration monitoring. In the article, this approach is improved by the addition of the project costs perspective to the standard time aspect. The relations for the fuzzy quantity of the total project costs and for its membership function are derived. The example demonstrates the application of the theoretical relations and shows how the enhanced fuzzy approach can be used when different project variants are to be compared. The example also reveals how the fuzzy approach with the project costs monitoring brings new information for the project planning and management and for the risk management.

Journal of Physics: Condensed Matter, 1989

ABSTRACT The finite-element method for electronic structure calculations for narrow two-dimension... more ABSTRACT The finite-element method for electronic structure calculations for narrow two-dimensional systems in perpendicular magnetic fields is suggested as a feasible alternative to the convectional tight-binding model. The accuracy and versatility of the method are illustrated for the case with a rectangular well. As an example of a more realistic problems, the influence of the magnetic field on the charge-density distribution in a narrow two-dimensional sample with an oblong well at its centre is investigated.

IEEE Transactions on Fuzzy Systems, 2017

The planning of project resource allocation is an important part of project management, but it of... more The planning of project resource allocation is an important part of project management, but it often suffers from uncertainty and ambiguity. Ambiguity conditions can be described and simulated by the theory of fuzzy sets and fuzzy quantities. The fuzzy approach to project planning is usually applied in critical path setting and project duration monitoring. In this article, we show a new application of the fuzzy set theory that involves planning project resource allocation and monitoring resource workloads. We derive the theoretical relations for the membership functions of the corresponding fuzzy quantities and demonstrate their application by taking a simple project as an example. The derived methods were used in planning a real project whose purpose was to analyze the possible resource workload. As a result, it was possible to recognize the serious risk of resource overload, which is not possible with the deterministic approach. They contributed to the success of the project.