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Abstract

For development of the knowledge-based economy, potential and quality of university education are an important factors to increase a competitiveness of local, regional, national and international scales. To shape the modern economy, the development of university education and studies corresponding with contemporary socio-economic challenges play an important role. As a result, the formation of scientific and academic centres, which are the basic elements of knowledge-based of economy, determines the improvement of the human resources quality and the increase in innovativeness of spatial systems on various scales. The author has discussed the issue of changes in university education in Poland and its role in socio-economic activation of regional systems, and also defined the structure of major studies in regional (voivodship) systems. This paper research has initiated wider investigations which aim will be to answer to what extent the actual university education structure corresponds to contemporary and future socio-economic needs and competences. this level of education in Poland has to face with the growing globalization processes and increasing spatial competitiveness, not only in a regional scale, but also in the national and international ones, and actual reforms of Polish education and science system.
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Abstract

The paper presents Gupta's relational decomposition technique expanded on linguistic level. It allows to reduce the hardware cost of the fuzzy system or the computing time of the final result, especially when referring to First Aggregation Then Inference (FATI) relational systems or First Inference Then Aggregation (FITA) rule systems. The inference result of the hierarchical system using decomposition technique is more fuzzy than of the classical system. The paper describes a linguistic decomposition technique based on partitioning the knowledge base of the fuzzy inference system. It allows to decrease or even totally remove a redundant fuzziness of the inference result.
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