#### Document Type

Paper

#### Start Date

15-5-1999 9:00 AM

#### End Date

17-5-1999 5:00 PM

#### Abstract

Probability theory is the arithmetic of the real line constrained by special aleatory axioms. Fuzzy logic is also a kind of probability theory, but of considerably more mathematical and axiomatic complexity than the standard account. Fuzzy logic purp orts to model the human capacity for reasoning with inexact concepts. It does this by exploring the assumption that when we argue in inexact terms and draw inferences in imprecise vocabularies, we actually make computations about the embedded imprecision s. I argue that this is in fact the last thing that we do, and indeed that we do the opposite.

#### Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

#### Response to Submission

Eveline T. Feteris, Commentary on Wales

#### Reader's Reactions

Rolf George, Commentary on Woods (May 1999)

#### Included in

Does informal logic have anything to learn from fuzzy logic?

Probability theory is the arithmetic of the real line constrained by special aleatory axioms. Fuzzy logic is also a kind of probability theory, but of considerably more mathematical and axiomatic complexity than the standard account. Fuzzy logic purp orts to model the human capacity for reasoning with inexact concepts. It does this by exploring the assumption that when we argue in inexact terms and draw inferences in imprecise vocabularies, we actually make computations about the embedded imprecision s. I argue that this is in fact the last thing that we do, and indeed that we do the opposite.