Stochastic truth degrees in n-valued propositional logic
Ying Song, Zhang Xing-fang
Abstract
Ying Song, Zhang Xing-fang
Abstract
This paper proposes the conception of stochastic truth degrees in Lukasiewicz n-valued propositional logic and offers illustration of some of its quality.The conception of stochastic similarity degree between formulas according to the stochastic truth degrees is followed.Morever,a pseudometric on the set of formulas is defined.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper proposes the conception of stochastic truth degrees in Lukasiewicz n-valued propositional logic and offers illustration of some of its quality.The conception of stochastic similarity degree between formulas according to the stochastic truth degrees is followed.Morever,a pseudometric on the set of formulas is defined.
Key concepts: Propositional calculus, Truth value, Truth function, Set (abstract data type), Mathematics, Tautology (logic), Similarity (geometry), Propositional variable