Fuzzy Logic and Its Applications

Dear Colleagues,

This Special Issue calls for the newest advancements under the banner "fuzzy logic and its applications" to create a common communication platform for both theoreticians and practitioners working on fuzzy logic in the area of its application to fuzzy systems, soft computing, and related areas. It will provide a platform for exchanging ideas among scientists: mathematicians, logicians, computer scientists, specialists in AI and knowledge engineering, experts in soft computing, etc.

From the historical perspective, the conceptual provenance of fuzzy logic may be inferred from the early works of Łukasiewicz, Wajsberg, Post, and Goedel on different aspects of multi-valency. However, Zadeh's and Pavelka's achievements in the 1970s gave an essential impulse for its development—not only in the theoretic framework of logic and mathematics. A multi-dimensional development in research on fuzzy logic and its applications in the 1980s and 1990s is a merit of many communities and researchers such as P. Hajek, L. Godo, H. Prade, P. Klement, D. Mundici, and many others.

Fuzzy logic may be currently seen as a broad spectrum of logical systems, which allow the statements to take truth values from the whole continuum between truth and falsehood. Indeed, fuzzy logic may be currently understood from mutually different epistemic perspectives, which elucidate the nature of fuzzy logic itself and a broad variety of different ways in which fuzzy logic lives in engineering practice and applications. Logicians can see fuzzy logic as a branch of mathematical logic and foundations of formal sciences. Mathematicians may tend to consider fuzzy logic as interesting research on MV-algebras and other close-related structures. Finally, experts in soft computing, AI, and knowledge representation may rather see fuzzy logic as machinery for dealing with approximate reference, uncertainty and vagueness in practice. 

Dr. Krystian Jobczyk
Guest Editor

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