Sentence examples for methods for fuzzy from inspiring English sources

Comparing result with traditional Monte Carlo simulation and parameter perturbation method, two numerical examples evidence the remarkable accuracy and effectiveness of proposed methods for fuzzy temperature field prediction in engineering.

Many ranking methods for fuzzy numbers have been proposed so far.

There are many methods for fuzzy clustering [34, 35], and FCM clustering is adopted in this paper.

We propose a ranking method for fuzzy numbers.

A design method for fuzzy proportional-integral-derivative (PID) controllers is investigated in this study.

This paper proposes a clustering-analysis-based membership functions formation method for fuzzy controller of ball mill pulverizing system.

The modified approach also is reliable for general optimum structural design with fuzzy resources, as concluded the most recommended method for fuzzy engineering design.

Second, a variable structure controller design method for fuzzy systems is presented when there exist both parameter uncertainties and disturbances in the fuzzy model.

This paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of fuzzy numbers and a weighting function.

This paper helps in tuning and designing the membership functions that are best suited for the problem statement by integrating subtractive clustering method for fuzzy expert system design.

To address this problem, we examined investor risk attitudes risk-averse, risk-neutrattitudes risk-averseehaviors—to discover an efficient methor for fuzzy portfolio selection.