A model theoretic approach to propositional fuzzy logic using Beth Tableaux
Fuzzy logic for the management of uncertainty
A fuzzy logic with interval truth values
Fuzzy Sets and Systems
The Fuzzy Systems Handkbook with Cdrom
The Fuzzy Systems Handkbook with Cdrom
Fuzzy Logic
The Paradoxical Success of Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
Responses to Elkan (Francis Jeffry Pelletier)
IEEE Expert: Intelligent Systems and Their Applications
On Some Alleged Misconceptions about Fuzzy Logic
Artificial Intelligence Review
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
A normal form which preserves tautologies and contradictions in a class of fuzzy logics
Journal of Algorithms
Crisp sets as classes of discontinuous fuzzy sets
International Journal of Approximate Reasoning
Application of a hybrid case-based reasoning approach in electroplating industry
Expert Systems with Applications: An International Journal
Explanatory model for the break of logic equivalence by irrational agents in Elkan's paradox
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
An intelligent decision support system for IT outsourcing
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Fuzzy logic and self-referential reasoning: a comparative study with some new concepts
Artificial Intelligence Review
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Some commonly accepted statements concerning the basic fuzzy logicproposed by Lotfi Zadeh in 1965, have led to suggestions that fuzzy logicis not a logic in the same sense as classical bivalent logic. Thoseconsidered herein are: fuzzy logic generates results that contradictclassical logic, fuzzy logic collapses to classical logic, there can be no prooftheory for fuzzy logic, fuzzy logic is inconsistent, fuzzy logic producesresults that no human can accept, fuzzy logic is not proof-theoreticcomplete, fuzzy logic is too complex for practical use, and, finally, fuzzylogic is not needed. It is either proved or argued herein that all of the thesestatements are false and are, hence, misconceptions. A fuzzy logic withtruth values specified as subintervals of the real unit interval [0.0, 1.0] isintroduced. Proofs of the correctness, consistency, and proof theoreticcompleteness of the truth interval fuzzy logic are either summarized orcited. It is concluded that fuzzy logics deserve the accolade of logic tothe same degree that the term applies to classical logics.