[PDF] Top 20 A t Norm Fuzzy Logic for Approximate Reasoning

... new t-norm fuzzy logic in which: 1) Truth values of an implication operator are based on truth values of both antecedent and con- sequent ; 2) Implication operator could be considered as one ... See full document

... a fuzzy logic based for- malization of an approximate reasoning methodology in a fuzzy resolution, where we derive a truth value of A from both values of B → A and B by some ...a ... See full document

... Fuzzy logic techniques were pioneered by Lotfi Zadeh when he first proposed the fuzzy set theory technique in 1956 [4], [5], [6], [7], [8], [9], ...intelligence. Fuzzy logic is ... See full document

... adaptive fuzzy output-feedback sliding mode control for switched uncertain nonlinear systems with input ...adaptive fuzzy sliding mode controller is designed for switched uncertain nonlinear systems by ... See full document

... Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving based on past ...Case-based reasoning (CBR) systems reason from experiences, they solve new problems by ... See full document

... based reasoning systems used in the medical field over the past few ...case-based reasoning applied to the health ...case-based reasoning techniques to speed up the process to propose appropriate ... See full document

... especially fuzzy logic has been used by many researchers for line tracing in mobile ...microprocessor-based fuzzy logic controlled line following robot is described by Reuss and Lee ...a ... See full document

... in fuzzy logic, CRC Press, 2006. 18. A. Rosenfeld, Fuzzy Graphs, In Fuzzy Sets and their Applications to Cognitive and Decision Processes, ... See full document

... In this paper, a framework for non-conscious ways of reasoning has been presented based on fuzzy 305. multivalued logic, fuzzy semantics and frame oriented knowledge representation[r] ... See full document

... Fuzzy approximate reasoning is based on possibility distri- ...a fuzzy set with a limit on the values that may be assigned to a variable ...output. Fuzzy logic, i.e. IF- THEN ... See full document

... It needs to be emphasized here that these decisions making processes are best used as decision tools. This study provides a general view of using two methods together under certain situations. A broader understanding of ... See full document

... introduce fuzzy logic related to solve attendance assessment issues among universities and other ...given fuzzy logic result that includes; 1) Attendance marks of the students in the class, 2) ... See full document

... of fuzzy sets (see [3] and [4]. The notion of t-norm and t-conorm turned out to be basic tools for probabilistic metric spaces (see [8] and [10]) but also in several other parts and have found ... See full document

... analysis fuzzy inference scheme dominates over classical two-valued ...for approximate reasoning. In a fuzzy inference scheme, linguistic variables are used in observation and effect parts to ... See full document

... based reasoning technique to solve fixture planning and fixture unit design [5, 10, ...Based Reasoning (RBR), fuzzy logic, Model Based Design, GA, Neural Network (NN) [1, 7, 18, 19] and so on ... See full document

... the fuzzy sets theory with evidential ...the fuzzy sets theory (Zadeh, 1965) in risk assessment models is a good way to deal with uncertainty ...Moreover, fuzzy sets allow the introduction of verbal ... See full document

... Because we are using one point to approximate the area under the risk profile curve, the point with the highest risk value should be used – ie. the highest product of consequence and likelihood value. For example, ... See full document

... of t-norm and t-conorm turned out to be basic tools for probabilistic metric spaces (see [10] an [11]), but also in several other parts and have found diverse applications in the theory of ... See full document

... Temporal Logic (STL) as a language for formalizing logical state- ...Dynamic Logic; MDL) monitor for complex event processing which is almost event-rate independent, meaning it can handle a dense stream ... See full document

... of fuzzy logic is the way to deal with computing in view of degrees of truth as opposed to just a Boolean ...of fuzzy logic, fuzzy control has proved to be the most ...a fuzzy ... See full document