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Additional info for Intelligent Sensory Evaluation: Methodologies and Applications

Example text

Those options are Option 1: eliminating no failure modes in the design review process; Option 2: eliminating failure modes "hoist up limit failure" and "hoist down limit failure" associated with the protection system; Option 3: eliminating the failure modes involving "major leak" and "no output from the package motor" associated with the hydraulic servo transmission system; and Option 4: eliminating the two failure modes associated with the protection system in design option 2 and the two failure modes associated with the hydraulic servo transmission system in design option 3.

2003]. In the proposed FRB-ER framework, the parameters used to define the safety level are described using fuzzy linguistic variables; a fuzzy rule-base designed on the basis of a belief structure is used to capture uncertainty and nonlinear relationships between these three parameters and the safety level; an input for each antecedent is transformed into a distribution on the linguistic values of this antecedent. This distribution describes the degree of each antecedent being activated. Moreover, the antecedents of an IF-THEN rule consist of an overall attribute, called a packet antecedent attribute.

We give the name "neuron" because the activation function of such a device is characterized, in the same way as in classical neural units, by a bias potential and by a weighted sum of suitable, in general non-linear, functions or basis functions. The attribute "morphogenetic" was chosen because the data determine the non-Euclidean space which generates the models given by the tensor g and is obtained by the linear operation of superposition of the attributes. We denote as morphogenetic neuron the process by which we generate the non-Euclidean space and we describe the relation among features by the tensor g that describes the space.

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