Fuzzy logic methodologies

It is also worth noting that the fuzzy logic methodology allows, like the Monte Carlo method, the identification, from all uncertain variables, of those which most greatly influence the output, and the rapid evaluation of the effect that changing the values of these variables has on the final result. The importance of this flexibility makes the proposed technique useful in the overall evaluation of environmentally benign sol-... 

Salkind AT, Fennie C, Singh P et al (1999) Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology. J Power Sources 80 293-300. doi 10.1016/S0378-7753(99)00079-8... 

What is more, because of the heuristic nature of the fuzzy logic methodology there is no guarantee that the project will operationally well perform. One of the most important aspects therefore is testing and validation of the system performance. Full testing is crucial factor for those kinds of safety systems. 

Fuzzy Logic in Chemistry is a bold venture into an exploration of the use of nonstandard computing methodologies in chemistry. It opens the door to a much wider use of fuzzy logic and related techniques in the analysis and design of chemical systems. 

Sorting and Grading Methodology Using Fuzzy Logic Technique... 

Potential human errors and equipment failures are combined in dynamic event trees for the final evaluation of event probabilities as identified initially from the bow tie diagrams. Data about Human Error Probabilities (HEPs) are estimated with the use of the FPE tool on the basis of expert judgement and theoretical insight (i.e., the CREAM methodology HoUnagel 1998) applied in combination with fuzzy logic principles (Zadeh 2008). 

Sin, Maneesh Tore Markeset 2009. A methodology for risk-based inspection planning of oil and gas pipes based on fuzzy logic fiamework. Engineering FaOure Analysis In Press, Accepted Manuscript. 

Failure prioritization through different methodologies another possibility to overtake FMEA analysis limits is to use a fuzzy logic approach to avoid the use of RPN. In this field of research different methods were developed (Garcia et al. 2005, Pillay Wang 2003, Braglia et al. 2003, Chin et al. 2009). 

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