Title :
Uncertainty reasoning based on lattice-valued first-order logic Lvfl
Author :
Chen, Shuwei ; Xu, Yang
Author_Institution :
Intelligent Control Dev. Center, Southwest Jiaotong Univ., Chengdu, China
Abstract :
Uncertainty reasoning is one of the important issues of many research fields, such as artificial intelligence, knowledge-based systems, data mining etc.. This paper proposes the theory of uncertainty reasoning in the "If...then..." type uncertainty reasoning mode based on the lattice-valued first-order logic Lvfl. The "If...then..." rule presented here is the rule in which both antecedent and consequence are L-type lattice-valued formula sets. Two uncertainty reasoning methods, which are reasonable due to their strict semantic interpretation and strict syntactical deduction, are proposed in the lattice-valued first-order logic Lvfl.
Keywords :
formal logic; uncertainty handling; L-type lattice-valued formula sets; artificial intelligence; data mining; knowledge-based systems; lattice-valued first-order logic Lvfl; strict semantic interpretation; strict syntactical deduction; uncertainty reasoning; Algebra; Humans; Information processing; Intelligent control; Intelligent systems; Knowledge based systems; Lattices; Logic functions; Machine intelligence; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400661