Location:
Search - Type-1 FLSs
Search list
Description: matlab mfile for flc type-2-matlab mfile for flc type-2
Platform: |
Size: 19456 |
Author: mehdi |
Hits:
Description: This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab
implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations.
In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We
also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences
between IT2 and type-1 FLSs.
Platform: |
Size: 201728 |
Author: hamed |
Hits:
Description: This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab
implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations.
In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs.
Platform: |
Size: 193536 |
Author: sabz |
Hits:
Description: This software may be used for non-commercial purposes only, so long as this copyright notice is
reproduced with each such copy made.
The software in this folder focuses on the computations associated with general type-2 FLSs.
Platform: |
Size: 2048 |
Author: sabz |
Hits:
Description: Fuzzy logic systems (FLSs) usually employ type-1 fuzzy
sets and represent uncertainty by numbers in the range [0,1]
which are referred to as degrees of membership. Type-2 fuzzy
sets are an extension of type-1 fuzzy sets with an additional
dimension that represent the uncertainty about the degrees of
membership. Type-2 fuzzy sets are useful in circumstances
where it is difficult to determine the exact membership function
(mf) for a fuzzy set. Type-1 mfs are precise in the sense
that once they have been chosen all the uncertainty disappears.
However, type-2 mfs are fuzzy themselves. The simplest
type-2 sets are interval type-2 sets whose elements’ degree of
membership are intervals with secondary membership degree
of 1.0.
Platform: |
Size: 375808 |
Author: applepie12356 |
Hits:
Description: general type 2 fuzzy logic matlab
Platform: |
Size: 16384 |
Author: mesutbiyan |
Hits:
Description: 经典的二型模糊逻辑系统学习资料,来自于mandle学习二型模糊逻辑系统必备的程序开发包-basic Software for learning type-2 fuzzy system
Platform: |
Size: 19456 |
Author: lanlan |
Hits: