Fuzzy logic from the viewpoint of machine intelligence

Fusion of infrared and visible images based on BEMD and NSDFB

“…So it is very important to discriminate the target from the background and effectively acquire the useful details information. Fuzzy logic admits the existence of intermediate states and assumes that each statement has a degree of truth ranging from 0 to 1, which makes it flexible in dealing with uncertain problems [35,36]. The integration of fuzzy logic into the low-frequency fusion rule will intelligently highlight the infrared target and preserve details of the visible image and result in an enhanced fusion image.…”

“…The integration of fuzzy logic into the low-frequency fusion rule will intelligently highlight the infrared target and preserve details of the visible image and result in an enhanced fusion image. As the infrared image presents the target and the visible image has much more high-frequency information, an adaptive weighted average is taken as the fusion of low-frequency coefficients [35]:…”

IFI-ideals of lattice implication algebras

“…In order to research the many-valued logical system whose propositional value is given in a lattice, Xu Yang proposed the concept of lattice implication algebras by combining algebraic lattice and implication algebra 16 . Since then, several researchers have investigated this logic algebra, and many beautiful results have been obtained 5,6,8,9,13,14,15,18,19,20 . For example, in 4 , Jun introduced the notion of LI− ideals in lattice implication algebras and investigated some of its properties.…”

Linguistic Truth-Valued Lattice Value Propositional Logic System lP(X)

“…Moreover, variable values are not numbers but words or sentences in a natural or artificial language. In real uncertainty reasoning and approximate inference, there exist many situations in which the information can not be assessed precisely in a quantitative form but may be in a qualitative one that is description in natural language [14]. For example, when ones try to evaluate "Age", ones tend to apply natural language "slightly young, somewhat young, almost young and very young etc."…”