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scientific master's theses
Klasifikacija uzoraka predočenih vektorima jezičnih varijabli
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. urn:nbn:hr:168:876857
Drozdek, Jasna
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Institutional repository: FER Repository

Cite this document

Drozdek, J. (2000). Klasifikacija uzoraka predočenih vektorima jezičnih varijabli (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:876857

Drozdek, Jasna. "Klasifikacija uzoraka predočenih vektorima jezičnih varijabli." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. https://urn.nsk.hr/urn:nbn:hr:168:876857

Drozdek, Jasna. "Klasifikacija uzoraka predočenih vektorima jezičnih varijabli." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. https://urn.nsk.hr/urn:nbn:hr:168:876857

Drozdek, J. (2000). 'Klasifikacija uzoraka predočenih vektorima jezičnih varijabli', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:876857

Drozdek J. Klasifikacija uzoraka predočenih vektorima jezičnih varijabli [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2000 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:876857

J. Drozdek, "Klasifikacija uzoraka predočenih vektorima jezičnih varijabli", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2000. Available at: https://urn.nsk.hr/urn:nbn:hr:168:876857

Metadata
TitleKlasifikacija uzoraka predočenih vektorima jezičnih varijabli
AuthorJasna Drozdek
MentorSlobodan Ribarić (mentor)
Committee memberBojana Dalbelo-Bašić (predsjednik povjerenstva)
Committee memberSlobodan Ribarić (član povjerenstva)
Committee memberNikola Pavešić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2000-10-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
Tema magistarskog rada je klasifikacija uzoraka predočenih vektorima jezičnih varijabli. Prvo se definiraju pojmovi neizrazitog skupa i neizrazitog broja, te se opisuje pravilo proširenja algebarskih opracija sa skupa realnih na skup neizrazitih brojeva. Zatim se uvodi definicija jezične varijable, te se opisuju Booleove i strukturne jezične varijable. Nakon toga definira se ndimenzionalni prostor jezičnih varijabli, uvodi se (pseudo)metrika na tom prostoru i navodi se algoritam normalizacije jezičnih varijabli. Formule za opisane (pseudo)metrike su zatim prilagođene za trapezoidalne jezične varijable. Opisuju se crisp q-NN (q najbližih susjeda) i qNP (q najbližih protoipova) algoritmi klasifikacije uzoraka, kao i njihove neizrazite verzije. Neizraziti q-NN i q-NP algoritmi su zatim prilagođeni za klasifikaciju uzoraka iz ndimenzionalnog prostora jezičnih varijabli. Na kraju je dana usporedba neizrazitih q-NN i q-NP metoda klasifikacije uzoraka koji su vektori jezičnih varijabli s klasifikatorom A. K. Natha i T. T. Leea. U dodatku A je opisana programska dokumentacija za program koji obavlja klasifikaciju uzoraka iz n-dimenzionalnog prostora jezičnih varijabli neizrazitim q-NN i q-NP algoritmima, koji je priložen na CD-ROMu.
Abstract (english)
The theme of this master’s thesis is pattern classification for patterns which are vectors of linguistic variables. Firstly, fuzzy set and fuzzy number are defined, and the extension principle for algebraic operations on the set of fuzzy numbers is given. The definition of linguistic variable is introduced, and special types of linguistic variables – Boolean and structured ones are described. Secondly, the n-dimensional space of linguistic variables is defined and (pseudo)metric functions on that space are introduced. The normalization algorithm for linguistic variables is given. Formulas for (pseudo)metric functions are applied in n-dimensional space of trapezoidal linguistic variables. Crisp q-NN (nearest neighbor) and q-NP (nearest prototype) classification algorithms are described and their fuzzy versions are given. Those fuzzy q-NN and q-NP algorithms are adopted for classification of the patterns which are vectors of linguistic variables. Finally, classifier of A. K. Nath and T. T. Lee is compared with fuzzy q-NN and q-NP classification algorithms for patterns that are vectors of linguistic variables. In the Appendix A program documentation for program that classifies n-dimensional vectors of linguistic variables using fuzzy q-NN and q-NP classification algorithms is given, and this program is recorded on CD-ROM and added to the thesis.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:876857
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Type of resourceText
File originBorn digital
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Created on2019-04-10 13:02:16