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Author
Banasik Arkadiusz (Politechnika Śląska)
Title
Knowledge Representation and Reasoning for Investor
Source
Prace Naukowe / Akademia Ekonomiczna w Katowicach. Systemy wspomagania organizacji SWO 2008: informatyka ekonomiczna jako dziedzina nauki i dydaktyki, 2008, s. 373 - 380, rys., bibliogr. 8 poz.
Keyword
Systemy rozmyte, Informacja, Zbiory rozmyte, Teoria możliwości, Systemy z bazą wiedzy
Fuzzy systems, Information, Fuzzy sets, Possibility theory, Knowledge based systems
Abstract


All important features of economy are based on information and knowledge. Obtaining and representation of knowledge is an important research areas in AI. The most important thing is to make all necessary improvements of reasoning based on uncertain or imprecise information, which is most common in order to experts' knowledge in field of investment. That is the most important factor to be improved during scientific researches and studies.(...) There are different kinds of information: qualitative information, quantitative information and information presented in natural language. In order to quantitative information we do not need any other apparatus than mathematical and statistical ones. But in order to applying quality and natural language pieces of information we need a complex approach, which allows us to count and to make operations over that information. And that is the key point of interest of presented paper.(fragment of text)
Accessibility
The Library of University of Economics in Katowice
The Main Library of Poznań University of Economics and Business
Bibliography
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  1. Banasik A.: Koncepcja rozmytej bazy wiedzy dla inwestora. W: Systemy Wspomagania Organizacji. SWO 2006. Red. T. Porębska-Miąc, H. Sroka. AE, Katowice 2006.
  2. Dubois D., Prade H.: Fuzzy Sets in Approximate Reasoning, Part 1: Inference with Possibility Distributions. "Fuzzy Sets and Systems" 1991, No 40.
  3. Dubois D., Prade H.: The Three Semantics of Fuzzy Sets. "Fuzzy Sets and Systems" 1997, No 90.
  4. Łęski J.: Systemy neuronowo-rozmyte. WNT, Warszawa, 2008.
  5. Zadeh L.: Fuzzy Sets. "Information and Control" 1965, No 8.
  6. Zadeh L.: Fuzy Sets as a Basis for Theory of Possibility. "Fuzzy Sets and Systems" 1978, No 1.
  7. Zadeh L.: Knowledge Representation in Fuzzy Logic. "IEEE Transactions on Knowledge and Data Reasoning" 1989, Vol. 1, No 1.
  8. Zbiory rozmyte i ich zastosowania. Chojcan J., Łęski J. [Eds.]. Politechnika Śląska, Gliwice, 2001.
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Language
eng
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