Fuzzy logic or Lukasiewicz logic: A clarification

Pavelka [10] had shown in 1979 that the only natural way of formalizing fuzzy logic for truth-value in the unit interval [0,1] is by using Lukasiewicz's implication operator a→b = min{1, 1−a+b} or some isomorphic form of it A considerable number of other papers around the same time had attempted to formulate alternative definitions for a→b by giving intuitive justifications for them. There continues to be some confusion, however, even today about the right notion of fuzzy logic. Much of this has its origin in the use of improper “and” (“or”) and the “not” operations and a misunderstanding of some of the key differences between “proofs” or inferencing in fuzzy logic and those in Lukasiewicz's logic. We point out the need for defining the strong conjunction operator “⊗” in connection with fuzzy Modus-ponens rule and why we do not need the fuzzy Syllogism rule. We also point out the shortcomings of many of the alternative definitions of a→b, which indicate further support for Pavelka's result. We hope that these discussions help to clarify the misconceptions about fuzzy logic.

[1]  V. Novák Fuzzy sets and their applications , 1989 .

[2]  Madan M. Gupta,et al.  Approximate reasoning in expert systems , 1985 .

[3]  Vilém Novák,et al.  Fuzzy control from the logical point of view , 1994 .

[4]  R. Yager On a general class of fuzzy connectives , 1980 .

[5]  Satoru Fukami,et al.  Some considerations on fuzzy conditional inference , 1980 .

[6]  N. Rescher Many Valued Logic , 1969 .

[7]  D. Dubois,et al.  Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions , 1999 .

[8]  Robert John Ackermann,et al.  An Introduction to Many-Valued Logics , 2019 .

[9]  Witold Pedrycz,et al.  Fuzzy Sets and T-Norms in the Light of Fuzzy Logic , 1988, Int. J. Man Mach. Stud..

[10]  B. Pilsworth,et al.  Axiomatic approach to implication for approximate reasoning with fuzzy logic , 1980 .

[11]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[12]  Siegfried Gottwald,et al.  Fuzzy propositional logics , 1980 .

[13]  L. Valverde,et al.  ON MODE AND IMPLICATION IN APPROXIMATE REASONING , 1993 .

[14]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[15]  E. Turunen Algebraic structures in fuzzy logic , 1992 .

[16]  Philippe Smets,et al.  Implication in fuzzy logic , 1987, Int. J. Approx. Reason..

[17]  D. Dubois,et al.  Fuzzy sets in approximate reasoning, part 2: logical approaches , 1991 .

[18]  Jaskowski,et al.  Polish Logic 1920-1939. , 1969 .

[19]  Vilém Novák On the syntactico-semantical completeness of first-order fuzzy logic. I. Syntax and semantics , 1990, Kybernetika.

[20]  P. Hájek Fuzzy logic and arithmetical hierarchy , 1995 .

[21]  Vilém Novák On the syntactico-semantical completeness of first-order fuzzy logic. II. Main results , 1990, Kybernetika.