Sentence examples for fuzzy performance from inspiring English sources

Principal component analysis and fuzzy c-means clustering algorithm were then performed to delineate the management zones, fuzzy performance index (FPI) and normalized classification entropy (NCE) was used to determine the optimal cluster number.

All the fuzzy performance scores of the factors and fuzzy weights in the hierarchy are calculated.

Step 3 The fuzzy weights and fuzzy performance scores are aggregated.

A local fuzzy performance model is created for each cluster of peers.

The cluster number c was determined experimentally by computing some fuzzy performance indices as presented in Table 2 in Sect.

The number of subzones was determined using fuzzy performance index and normalized classification entropy to optimize the classification algorithm.

A Neuro-Fuzzy Performance Evaluation Model (NFPEM) proposed in Akinnuwesi, Uzoka, Olabiyisi, and Omidiora (2012) was reviewed in this work with the view of modifying it and thus making it flexible and scalable.

The data used for the training and checking the fuzzy logic performance is derived from the experiments conducted on a CNC milling machine.

The work presented herein illustrates the use of computational intelligence and optimization approaches for improving the fuzzy controller׳s performance in architectural heating, ventilation, and air conditioning system (HVAC).

By using the discrete-time Lyapunov sense, the sufficient condition of the asymptotic stability for the error system is given and a prescribed level of the H∞ norm is ensured to guarantee the H∞ fuzzy filter performance.

A fuzzy composite performance index (FCPI), formulated by combining (i) voltage violations, (ii) line flow violations and (iii) voltage stability margin is being proposed in this paper for composite ranking of contingencies.