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Fuzzy Controller for an Inverted Pendulum  
This is a demonstration of a one-stage Inverted Pendulum controlled by a Fuzzy Java Controller generated by FIDE™, a fuzzy design tool by Aptronix, Inc. The blue box underneath is a roller cart controlled by a motor that pulls it to the left or right according to the controller's command. Applet is not working properly
Submitted: Dec 20, 1999
Using Fuzzy Logic for Molecular Modeling  
Since fuzzy logic is, by definition, imprecise, it is a natural means of representing the imprecision of lattice parameters and bond angles. Fuzzy lattice parameters are created by collecting parameter values from the literature. From the minimum, maximum, and average of these parameter values, a fuzzy number is created that represents the imprecision in that parameter. Then, through the use of fuzzy arithmetic operators and recently developed fuzzy trigonometric functions, fuzzy atom locations within the unit cell and bond angles can be calculated. The benefit of using fuzzy logic in this manner is that it directly enables representation and calculation with the imprecision found in chemical compounds, which arises from measurement variability due to measurement error, structural defects, and thermal and vibrational characteristics.
Submitted: Dec 20, 1999
InfoSapient is a rules engine that allows business analysts to enter and maintain business rules using everyday language. The resulting automated decision-making is similar to the way informed human make decisions. Many variables are considered simultaneously and used to weigh risks and opportunities in order to arrive at the best course of action. This allows complex decision-making to take place at the precise moment it is needed without depending on the various levels of skills and experience of a corporate IT division.
Submitted: Jun 20, 2002
A list of Aptronix's (a company dealing in fuzzy logic) Core Technologies and another of their innovations in this field.
Submitted: Dec 20, 1999
Aggregation operators approximation tool  
This software allows one to fit parameters of various classes of aggregation operators (that model conjunction, disjunction and averaging in fuzzy logic) to empirical data. It implements various constrained regression models, that are tailored to aggregation operators.
Submitted: Nov 21, 2006

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