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http://www.zasobynauki.pl/zasoby/82788

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https://id.e-science.pl/records/82788

Resource type: article, chapter

First joint IFSA-EC and Euro-WG workshop on progress in fuzzy sets in Europe, November 25-27, 1986, Warsaw, Poland. Proceedings * A comparison between statistical and fuzzy approaches to medical data analysis (PN-1988-13-02)

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Title First joint IFSA-EC and Euro-WG workshop on progress in fuzzy sets in Europe, November 25-27, 1986, Warsaw, Poland. Proceedings * A comparison between statistical and fuzzy approaches to medical data analysis (PN-1988-13-02)
Persons Authors: Zaki Ahmed Azmi, Mohamed A.A. Younis
Partner: Systems Research Institute Polish Academy of Sciences, Warsaw
Description The paper describes a variety of fuzzy approaches to clustering and classification. The methods are then tested on medical data concerning patients with hepatitis and difficulties concerning such data are analyzed. (English)
Keywords "fuzzy pattern recognition"@en, "fuzzy classification"@en, "rozmyte rozpoznawanie wzorców"@pl, "medical data"@en, "dane medyczne"@pl, "klasyfikacja rozmyta"@pl
Classification Resource type: article, chapter
Scientific discipline: Dziedzina nauk ścisłych i przyrodniczych / matematyka (2018)
Destination group: pupils, students, scientists
Harmful content: No
Characteristics Title of source document: PN-1988-13-02
Place of publication: Warszawa
Publisher: IBSPAN
Time of publication: 1988
From page: 1
To page: 26
Resource language: English
License CC BY-SA 4.0
Technical information Submitter: Anna Wasilewska
Availability date: 13-01-2023
Collections Kolekcja Instytutu Badań Systemowych PAN w Warszawie

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Zaki Ahmed Azmi, Mohamed A.A. Younis. First joint IFSA-EC and Euro-WG workshop on progress in fuzzy sets in Europe, November 25-27, 1986, Warsaw, Poland. Proceedings * A comparison between statistical and fuzzy approaches to medical data analysis (PN-1988-13-02). [article, chapter] Available in Atlas of Open Science Resources, . License: CC BY-SA 4.0, https://creativecommons.org/licenses/by-sa/4.0/legalcode.pl. Date of access: DD.MM.RRRR.

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