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Fuzzy Natural Logic: Towards Mathematical Logic of Human Reasoning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601F6T" target="_blank" >RIV/61988987:17610/15:A1601F6T - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Natural Logic: Towards Mathematical Logic of Human Reasoning

  • Original language description

    One of the often repeated proclaims appearing in the papers on fuzzy sets and fuzzy logic is their ability to model semantics of some linguistic expressions so that the inherent vagueness of the former is also captured. Recall that this direction of research was initiated by L. A. Zadeh already in his early papers and since then, most of the applications of fuzzy sets emphasize presence of natural language, at least in hidden form. In this paper we argue that the potential of fuzzy set theory and fuzzylogic is strong enough to enable developing not only a working model of linguistic semantics but even more --- to develop a model of natural human reasoning that proceeds in natural language. We bring forward the concept of fuzzy natural logic (FNL) thatis a mathematical theory whose roots lay in the concept of natural logic developed by linguists and logicians.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Towards the Future of Fuzzy Logic

  • ISBN

    978-3-319-18749-5

  • Number of pages of the result

    29

  • Pages from-to

    137-165

  • Number of pages of the book

    391

  • Publisher name

    Springer

  • Place of publication

    New York

  • UT code for WoS chapter