This question is fundamental to determine the inputs and rules as well as understand the output of fuzzy model
This multi objective structural model can be expressed as neutrosophic fuzzy model
The goal of this paper is to present a new expert decision-making fuzzy model
for the evaluation of project success.
Every fuzzy model
has four key elements: First is the Universe of discourse, which is the domain of the variable.
The set of input data (SWA, SWRATE, AVZ, AAZ, AAY) from the training maneuvers and the corresponding output data (desired OS/US Indicator) is used to create a first Sugeno fuzzy model
The science aim of the paper is to present a new expert decision-making fuzzy model
for evaluation of the total proj ect risk.
It uses the Takagi-Sugeno fuzzy model
, which is described by a set of "IF-THEN" rules as follows:
A fuzzy controller based on the Takagi-Sugeno fuzzy model
of the gantry crane was proposed in , while another fuzzy controller based on an IF-THEN fuzzy model
of a gantry crane system was proposed in .
Through the routine using the MATLAB[R] program, it is possible to generate a numerical output to the fuzzy model
, therefore the mean hospitalization time was obtained from the input values of each variable.
A rule based fuzzy model
for the prediction of petrophysical rock parameters.
Moreover a fuzzy model
combining FAHP and TOPSIS was used to evaluate the performance of eight Cement companies using financial ratios .
Keywords: FCM clustering, fuzzy association rules, incremental hierarchical fuzzy model
, multilevel fuzzy support vector regression network