By H. Cabannes, M. Holt, V. V. Rusanov
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Extra info for 6th Int'l Conference on Numerical Methods in Fluid Dynamics
In his seminal text on computer vision, [Marr, 1982], David Marr stated two principles to be followed in the design of intelligent (vision) algorithms. The first is called the Principle of Least Commitment (PLC). He states it simply as “Don’t do something that later must be undone”. Hence, in a complex computing scenario, one where there are many decision making steps, avoid making deterministic decisions for as long as is possible. It is very difficult, perhaps impossible, to recover from a wrong crisp decision early on.
More like an average than a union. , aggregation operators where a high value in matching one criterion can compensate to some extent for a low value for another criterion. The simplest of these is called the generalized mean. 2) 34 Applications of Fuzzy Logic in Bioinformatics where α is a fixed real number. 2 produces the geometric mean, the nth root of the product of the values. All instantiations of the generalized means produce values between the minimum and maximum of the degrees of satisfaction of the individual criteria.
The standard method to convert it to a fuzzy set for the inference process is to create a (crisp) set that is 1 for x1 and zero everywhere else in the domain X 1 . This makes the firing of the rules particularly simple [Klir and Yuan 1995]. 2). This process of converting measured crisp inputs into fuzzy sets for inference purposes is known as fuzzification. It may seem artificial at times, but the rule clauses themselves describe the uncertainty and variability in the problem domain, so, the exact form of fuzzification is less critical.
6th Int'l Conference on Numerical Methods in Fluid Dynamics by H. Cabannes, M. Holt, V. V. Rusanov