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EN
A considered problem is a valuation of real estate. It is important to specify their exact market value, which is the result of several factors. Valuation of property is made on the basis of information and transactions on the local market. Moreover, the valuation always is based on the data of the similar properties. A comprehensive set of data is needed for these reasons. It is quite confusing because the number of transactions on the local market often is not sufficient. The purpose of this paper is to present a method for multicriteria valuation of real estate. This procedure is based on the Analytic Hierarchy Process (AHP) and the Goal Programming (GP). It was designed especially for valuation in situation in which information are limited. The proposed method was used for the valuation of the real estate located on Warsaw.
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EN
The paper discusses a model of matching process which was proposed by two American mathematicians: David Gale and Lloyd S. Shapley. The basic concept defined by them was the stable allocation, which can be achieved with so-called deferred acceptance algorithm. The article analyzes the problems discussed by the theory of stable allocations on the basis of graph theory. It has been shown that the issues raised by this theory can be ana-lyzed using bipartite graphs and networks weighted. They also formulated conditions which should be met in purpose to solve a problem of matching. References relate to the labor market, as a discussed issue is applicable in practice, especially in the design of systems of recruitment companies. The aim of the article is to present the problem of bilateral associa-tions with the use of the language of graph theory and an indication of possible applications in the area of search and match of job seekers and employers.
EN
Problems associated with the implementation of mathematical subjects on the Faculty of Economic Sciences (Warsaw University of Life Sciences) are presented in this paper. These subjects are mathematics, financial mathematics and financial engineering. The presented considerations are based on the experience gained during lectures and exercises listed direction of study: Economics, Management, Logistics, Finance and Accounting.
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