Add to ORKGIn applications of fuzzy techniques to several practical problems -- in particular, to the problem of predicting passenger flows in the airports -- the most efficient membership function is a sine function; to be precise, a portion of a sine function between the two zeros. In this paper, we provide a theoretical explanation for this empirical success
Given a fuzzy logic system, how can we determine the membership functions that will result in the be...
The main ideas of F-transform came from representing expert rules. It would be therefore re reasonab...
[[abstract]]A general methodology for constructing fuzzy membership functions via B-spline curve is ...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
In many design problems, it is important to take into account expert knowledge. Expert often describ...
In principle, we can have many different membership functions. Interestingly, however, in many pract...
In principle, in applications of fuzzy techniques, we can have different complex membership function...
In many practical applications, it is useful to represent a signal or an image by its average values...
Given a. fuzzy logic system, how can we determine the membership functions that will result in the b...
<p>A membership function is a curve that represents the degree of points which belong to the<br> spe...
[[abstract]]A unified form of fuzzy membership functions, called as B-spline membership functions (B...
Fuzzy techniques describe expert opinions. At first glance, we would therefore expect that the more ...
This paper has considered a task to expand the scope of application of fuzzy mathematics methods, wh...
Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membership fun...
The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in...
Given a fuzzy logic system, how can we determine the membership functions that will result in the be...
The main ideas of F-transform came from representing expert rules. It would be therefore re reasonab...
[[abstract]]A general methodology for constructing fuzzy membership functions via B-spline curve is ...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
In many design problems, it is important to take into account expert knowledge. Expert often describ...
In principle, we can have many different membership functions. Interestingly, however, in many pract...
In principle, in applications of fuzzy techniques, we can have different complex membership function...
In many practical applications, it is useful to represent a signal or an image by its average values...
Given a. fuzzy logic system, how can we determine the membership functions that will result in the b...
<p>A membership function is a curve that represents the degree of points which belong to the<br> spe...
[[abstract]]A unified form of fuzzy membership functions, called as B-spline membership functions (B...
Fuzzy techniques describe expert opinions. At first glance, we would therefore expect that the more ...
This paper has considered a task to expand the scope of application of fuzzy mathematics methods, wh...
Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membership fun...
The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in...
Given a fuzzy logic system, how can we determine the membership functions that will result in the be...
The main ideas of F-transform came from representing expert rules. It would be therefore re reasonab...
[[abstract]]A general methodology for constructing fuzzy membership functions via B-spline curve is ...