On the Sheffer stroke operation in fuzzy logic

التفاصيل البيبلوغرافية
العنوان: On the Sheffer stroke operation in fuzzy logic
المؤلفون: Michał Baczyński, Sebastia Massanet, Wanda Niemyska, Daniel Ruiz-Aguilera, Pedro Berruezo, Piotr Helbin
المصدر: Fuzzy Sets and Systems. 431:110-128
بيانات النشر: Elsevier BV, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Fuzzy conjunction, 0209 industrial biotechnology, Logic, 02 engineering and technology, Fuzzy logic, Logical connective, Conjunction (grammar), ComputingMethodologies_PATTERNRECOGNITION, 020901 industrial engineering & automation, Negation, Sheffer stroke, Artificial Intelligence, Fuzzy implication function, Truth value, t-Norm, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Arithmetic, Connection (algebraic framework), Mathematics
الوصف: From the beginnings of fuzzy logic, the Sheffer stroke operation has been overlooked and the efforts of the researchers have been devoted to other logical connectives. In this paper, the Sheffer stroke operation is introduced in fuzzy logic generalizing the classical operation when the truth values are restricted to { 0 , 1 } 2 . Similar to what happens in Boolean logic, the fuzzy Sheffer stroke is functionally complete and it can be used to generate any other fuzzy logical connective by combinations of itself. Two construction methods are presented and the close connection of this operation with a pair of fuzzy conjunction and negation is analysed.
تدمد: 0165-0114
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd7c711253c762021571a252f420e2c
https://doi.org/10.1016/j.fss.2021.05.003
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....0bd7c711253c762021571a252f420e2c
قاعدة البيانات: OpenAIRE