Title :
Lukasiewicz inference in Layman´s probability theory
Author :
Schwartz, Daniel G.
Author_Institution :
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
Abstract :
A prior work introduced Layman´s probability theory as a formal system for reasoning with linguistic likelihood, wherein the logical and is interpreted as the arithmetic min, and the or is interpreted as the max. Likelihood modifiers (likely, very likely, somewhat unlikely, etc.) are treated as modal operators. The system is two-leveled, with the lower level being a multivalent logic and the upper level being bivalent. In the previous treatment, the lower level employed only the connectives V, ∧, and ~. The paper adds the → connective, provides this with the well-known Lukasiewicz interpretation, and explores its properties with respect to the system as a whole
Keywords :
fuzzy logic; inference mechanisms; probability; uncertainty handling; Layman probability theory; Lukasiewicz inference; bivalent logic; fuzzy logic; likelihood modifiers; modal operators; multivalent logic; reasoning with linguistic likelihood; Computer science; Decision making; Digital arithmetic; Face; Formal languages; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877465