Rudy Sayoga Gautama Benggolo
Fuzzy logic is a logic that has a value of infurky or policies (fuzzyness) between right or wrong. Fuzzy logic is generally applied to problems that contain elements of uncertainty (uncertainty), inaccuracy (imprecise), noisy, and so on. Fuzzy logic bridges the language of precision machinery with human language which emphasizes the meaning or meaning (significance). Fuzzy logic is developed based on human language (natural language)
The term fuzzy refers to something that is unclear or vague. In the real world sometimes we are in a situation where we cannot determine the situation right or wrong. Well, Fuzzy logic here plays a role in providing flexibility when doing reasoning.
Fuzzy logic can be applied in the selection of geochemical modeling, where the geochemical model produced is a lot and varies. This fuzzy logic will be used in the selection based on the rules given so that the final model can be determined.
Some leaf samples from the laboratory scale kinetic testing are tested for its chemical physio and modeled inversely modeling to find out the geochemical reactions that occur using using PhreeQC software. From the geochemical model data using phreeqc software obtained 8 main models that will be used as rule in fuzzy reasoning. The input used is the physiochemical parameter of water in the form of pH, TDS, EC. The model is selected based on the crisp number value on the geochemical model/ reaction selected based on phreeqc output.
Fuzzy logic can be applied in the selection of geochemical models so that modeling with the smallest errat value and corresponding geochemical conditions can be selected.
Applying Fuzzy Logic in the selection of the most corresponding geochemical models as a result of inverse Modeling PhreeQC
Useful to facilitate the use of phreeqc in relation to geochemistry