Higher-Order Fuzzy Logics and their Categorical Semantics: Higher-Order Linear Completeness and Baaz Translation via Substructural Tripos Theory

Yoshihiro Maruyama

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    There are, in general, two kinds of logical foundations of mathematics, namely set theory and higher-order logic (aka. type theory). Fuzzy set theory and class theory have been studied extensively for a long time. Studies on higher-order fuzzy logic, by contrast, just started more recently and there is much yet to be done. Here we introduce higher-order fuzzy logics over MTL (monoidal t-norm logic; uniform foundations of fuzzy logics such as Hájek's basic logic, Lukasiewicz logic, and Gödel logic); higher-order MTL boils down to the standard higherorder intuitionistic logic (i.e., the internal logic of topos) with the pre-linearity axiom when equipped with the contraction rule. We give uniform categorical semantics for all higher-order fuzzy logics over MTL in terms of tripos theory. We prove the linear completeness of tripos semantics for higher-order fuzzy logics, and a tripos-theoretical Baaz translation theorem, which allows us to simulate higher-order classical logic within fuzzy logics. The relationships between topos theory and fuzzy set theory have been pursued for a long time; yet no complete topos semantics of fuzzy set theory has been found. Here we give complete tripos semantics of higher-order fuzzy logic (or fuzzy type theory).

    Original languageEnglish
    Title of host publicationIEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665444071
    DOIs
    Publication statusPublished - 11 Jul 2021
    Event2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021 - Virtual, Online, Luxembourg
    Duration: 11 Jul 202114 Jul 2021

    Publication series

    NameIEEE International Conference on Fuzzy Systems
    Volume2021-July
    ISSN (Print)1098-7584

    Conference

    Conference2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021
    Country/TerritoryLuxembourg
    CityVirtual, Online
    Period11/07/2114/07/21

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