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New Fuzzy Similarity Measures: from Intuitionistic to Type-2 Fuzzy Sets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238745" target="_blank" >RIV/61989100:27240/17:10238745 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/17:10238745

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/8015696/" target="_blank" >http://ieeexplore.ieee.org/document/8015696/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015696" target="_blank" >10.1109/FUZZ-IEEE.2017.8015696</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    New Fuzzy Similarity Measures: from Intuitionistic to Type-2 Fuzzy Sets

  • Original language description

    Fuzzy Similarity Measure (FSM) is one of the most used techniques for classification, pattern recognition or knowledge reduction. While many type-1 FSMs exist, few ones exist for type-2 fuzzy sets. In this paper, we introduce three similarity measures between Interval Type-2 Fuzzy Sets (IT-2 FSs) as an extension of some distance measures between Intuitionistic Fuzzy Sets (IFSs). Many definitions and properties are exposed in order to prove that the formulas presented are indeed similarity measures. Experimental results are presented, comparison with other existing type-2 FSMs is done and interpretation is given in order to satisfy FSM properties

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IEEE International Conference on Fuzzy Systems

  • ISBN

    978-1-5090-6034-4

  • ISSN

    1098-7584

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Neapol

  • Event date

    Jul 9, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article