The purpose of the paper is to show that, contrary to the claims of some probabilists of the Bayesian trade, probability theory relates to fuzzy set theory in a similar way as it relates to classical set theory. Examining the well known proof by R.T. Cox (1946), whose aim is to justify the rules of classical Bayesian inference, we point to some weaknesses of the proof and show that it does not exclude the possibility of alternative rules of Bayesian inference based on fuzzy events.

Date of creation, presentation, or exhibit



Institute of Electrical and Electronics Engineers (IEEE). 0-8186-7126-2 Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Department of Computing Security (GCCIS)


RIT – Main Campus