نتایج جستجو برای: Type-2 fuzzy set

تعداد نتایج: 3994099  

Journal: :iranian journal of fuzzy systems 2015
shambhu sharan s. p. tiwari v. k. yadav

the purpose of the present work is to establish a one-to-one correspondence between the family of interval type-2 fuzzy reflexive/tolerance approximation spaces and the family of interval type-2 fuzzy closure spaces.

ژورنال: محاسبات نرم 2013

A type-2 fuzzy set (or fuzzy-fuzzy set) is a fuzzy set that has fuzzy membership degrees. Such a set is useful wherein it is difficult to determine the exact membership degrees. A type-2 fuzzy system is robust against uncertainties that occur in fuzzy rules and system parameters. In this paper, first, The history of type-2 fuzzy theory which is developed during 25 recently years briefly is revi...

Journal: :iranian journal of fuzzy systems 2008
violeta leoreanu fotea

in this paper we study two important concepts, i.e. the direct andthe inverse limit of hyperstructures associated with fuzzy sets of type 2, andshow that the direct and the inverse limit of hyperstructures associated withfuzzy sets of type 2 are also hyperstructures associated with fuzzy sets of type 2.

Journal: :Applied sciences 2021

The article presents a multidimensional type 2 epistemic fuzzy arithmetic (MT2EF-arithmetic) based on the new body definition of set (T2FS), which in authors’ opinion, is more suitable for computing than current versions (FA) border T2FS. proposed MT2EF-arithmetic designed variables and has mathematical properties that allow obtaining universal algebraic calculation results. performs calculatio...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

Journal: :Inf. Sci. 2001
Nilesh N. Karnik Jerry M. Mendel

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید