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PL
W pracy przedstawiono koncepcje budowy wskaźników przeznaczonych do porządkowania obiektów opisanych wieloma cechami o wartościach nieujemnych na tej samej skali, czyli takich, których wartości można interpretować jako składowe struktury. Podane mierniki mogą być wykorzystywane do cyklicznego raportowania w systemach MIS (Management Information System) w systemach informacyjnych zarówno instytucji publicznych obserwujących zmiany strukturalne, jak i w dużych korporacjach o rozbudowanej strukturze wewnętrznej. Koncepcję zilustrowano na przykładzie zmian, jakie zachodzą w strukturze obszarowej gospodarstw w Polsce na tle nowych państw Unii Europejskiej w okresie 2003 -2010.
EN
The paper presents the concepts of indicators intended to organize objects described by many features of non-negative values on the same scale, i.e. ones whose values can be interpreted as components of a structure. The discussed measures can be used in information systems of both public institutions which observe structural changes and large corporations with extensive internal structures for reporting in Management Information Systems (MIS). The concept is illustrated by the changes that occur in the structure of farms in Poland against the background of the new EU Member States in the period 2003-2010.
EN
Multidimensional analysis uses various measures for assessing economic effects. However, no single synthetic measure, regardless how popular, can give a satisfactory solution to the above problem. In general, various approaches of combining measures can lead to stable outcomes. Nevertheless, when combining "weak" classifiers one can obtain inevitably poorer classification. We propose here a new approach to construct doubly synthetic measures. The main goal of this work is to analyse the influence these new synthetic measures on the ranking of multidimensional objects.
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