Path: utzoo!mnetor!uunet!lll-winken!lll-lcc!ames!pasteur!ucbvax!FRODO.STANFORD.EDU!golden From: golden@FRODO.STANFORD.EDU (Richard Golden) Newsgroups: comp.ai.digest Subject: FUZZY LOGIC VS. PROBABILITY THEORY Message-ID: <8802180658.AA11175@ucbvax.Berkeley.EDU> Date: 16 Feb 88 04:46:33 GMT Sender: daemon@ucbvax.BERKELEY.EDU Organization: The Internet Lines: 44 Approved: ailist@kl.sri.com I am not an expert in Fuzzy Logic or Probability Theory but I have examined the literature regarding the foundations of Probability Theory and the derivation of these foundations from basic principles of deductive logic. The basic theoretical result is that selecting a "most probable" conclusion for a given set of data is the ONLY RATIONAL selection one can make in an environment characterized by uncertainty. (Rational selection in this case meaning consistency with the classic deductive/symbolic logic - boolean algebra.) Thus, one could argue that if one constrains the class of possible inductive logics to be consistent with the laws of deductive logic then Probability Theory is the MOST GENERAL type of inductive logic. The reference from which these arguments are based is given by Cox (1946). Probability Frequency and reasonable expectation. American Journal of Statistical Physics, 14, 1-13. The argument is based upon the following hypotheses: (i) The belief of the event B given A may be represented by a real-valued function F(B,A). (ii) F(~B,A) may be computed from F(B,A) (iii) F(C and B,A) may be computed from F(C,B and A) and F(B,A) Note this assumption's similarity to Bayes Rule but the multiplicative property is not assumed. (iv) Assumptions (i), (ii), and (iii) must be consistent with the laws of Boolean Algebra (i.e., deductive/symbolic logic). From these assumptions one can prove that F(B,A) must be equivalent to the conditional probability of B given A. That is, F(B,A) must lie between a maximum and minimum value (say 1 and 0) and the sum of all possible values for B for a particular value of A must equal the maximum value (1). Note that we are taking the subjectivist view of probability theory and we are NOT interpreting the probability of an event as the limiting value of the relative frequency of an event. To my knowledge, the axioms of Fuzzy Logic can not be derived from consistency conditions generated from the deductive logic so I conclude that Fuzzy Logic is not appropriate for inferencing. Any comments?!!! Richard Golden Psychology Department Stanford University Stanford, CA 94305 GOLDEN@PSYCH.STANFORD.EDU Cc: