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The theory and applications of generalized complex fuzzy propositional logic

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    19 Scopus citations

    Abstract

    The current definition of complex fuzzy logic has two limitations. First, the derivation uses complex fuzzy relations; hence, it assumes the existence of complex fuzzy sets. Second, current theory is based on a restricted polar representation of complex fuzzy proposition, where only one component of a complex fuzzy proposition carries fuzzy information. In this chapter we present a novel form of complex fuzzy logic. The new theory, referred to as generalized complex fuzzy logic, overcomes the limitations of the current theory and provides several advantages. First, the derivation of the new theory is based on axiomatic approach and does not assume the existence of complex fuzzy sets or complex fuzzy classes. Second, the new form supports Cartesian and polar representation of complex logical propositions with two components of fuzzy information. Hence, the new form significantly improves the expressive power and inference capability of complex fuzzy logic. Finally, the new form is compatible with (yet independent of) the definition of complex fuzzy classes; thereby providing further improvement in the expressive power and inference capability. The chapter surveys the current state of complex fuzzy sets, complex fuzzy classes, and complex fuzzy logic; and provides a new and generalized complex fuzzy propositional logic theory. The new theory has potential for usage in advanced complex fuzzy logic systems and latent for extension into multidimensional fuzzy propositional and predicate logic. Moreover, it can be used for inference with type 2 (or higher) fuzzy sets. Furthermore, the introduction of complex logic can be used for analysis of periodic temporal fuzzy processes where the period is fuzzy.

    Original languageEnglish
    Title of host publicationSoft Computing
    Subtitle of host publicationState of the Art Theory and Novel Applications
    PublisherSpringer Verlag
    Pages177-192
    Number of pages16
    ISBN (Print)9783642349218
    DOIs
    StatePublished - 1 Jan 2013

    Publication series

    NameStudies in Fuzziness and Soft Computing
    Volume291
    ISSN (Print)1434-9922

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Computational Mathematics

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