Results 251 to 260 of about 327,209 (295)

Complex intuitionistic fuzzy sets

AIP Conference Proceedings, 2012
This paper presents a new concept of complex intuitionistic fuzzy set (CIFS) which is generalized from the innovative concept of a complex fuzzy set (CFS) by adding the non-membership term to the definition of CFS. The novelty of CIFS lies in its ability for membership and non-membership functions to achieve more range of values.
Abdulazeez (Moh'd Jumah) S. Alkouri, Abdul Razak Salleh   +1 more
openaire   +1 more source

Multi-Fuzzy Complex Numbers and Multi-Fuzzy Complex Sets

International Journal of Fuzzy System Applications, 2015
This paper presents a method to construct more general fuzzy complex numbers and sets from ordinary fuzzy complex numbers by introduced the ordered sequences of membership functions. It is concluded that multi-fuzzy complex set is an extension of Buckley fuzzy complex set.
Asit Dey, Madhumangal Pal
openaire   +1 more source

Complex fuzzy soft expert sets

AIP Conference Proceedings, 2017
Complex fuzzy sets and its accompanying theory although at its infancy, has proven to be superior to classical type-1 fuzzy sets, due its ability in representing time-periodic problem parameters and capturing the seasonality of the fuzziness that exists in the elements of a set.
Ganeshsree Selvachandran, Nisren A. Hafeed, Abdul Razak Salleh   +2 more
openaire   +1 more source

Fuzzy Complex-Valued Fuzzy Measure Base on Fuzzy Complex Sets

2012
Based on the conception of fuzzy complex-valued measure, Firstly, the definition of fuzzy complex-valued fuzzy measure on the fuzzy complex sets is introduced, the properties of them is discussed, and gain some better results; Secondly, we introduce the conception of fuzzy complex-valued fuzzy measurable function on fuzzy complex sets , and finally ...
Zhi-qing Zhao, Sheng-quan Ma
openaire   +1 more source

Fuzzy parameterized complex multi-fuzzy soft expert sets

AIP Conference Proceedings, 2019
This paper presents a new approach to time-series applications, called the fuzzy parameterized complex multi-fuzzy soft expert set FPCM k FSE – set. Some operations related to this new concept are defined, such as equal, subset, complement, union and intersection.
Yousef Al-Qudah, Nasruddin Hassan
openaire   +1 more source

Distances of complex fuzzy sets and continuity of complex fuzzy operations

Journal of Intelligent & Fuzzy Systems, 2018
A complex fuzzy set is a set whose membership values are vectors in the unit circle in the complex plane. To enhance and extend the applicability of complex fuzzy sets, this paper investigates and develops different types of distance measures for complex fuzzy sets. Several distance measures of complex fuzzy sets are introduced.
Hu, Bo, Bi, Lvqing, Dai, Songsong, Li, Sizhao   +3 more
openaire   +1 more source

Interval-valued complex fuzzy soft sets

AIP Conference Proceedings, 2017
Type-2 fuzzy sets allow us to incorporate the uncertainties about the membership functions into fuzzy sets, thereby overcoming a problem that is inherent in type-1 fuzzy sets, which does not allow for any uncertainty in assigning values to the membership functions.
Ganeshsree Selvachandran, Abdul Razak Salleh   +1 more
openaire   +1 more source

Operations on complex multi-fuzzy sets

Journal of Intelligent & Fuzzy Systems, 2017
In this paper, we introduce the concept of complex multi-fuzzy sets (CM k FSs) as a generalization of the concept of multi-fuzzy sets by adding the phase term to the definition of multi-fuzzy sets.
Al-Qudah, Yousef, Hassan, Nasruddin
openaire   +1 more source

Function Approximation with Complex Neuro-Fuzzy System Using Complex Fuzzy Sets – A New Approach

New Generation Computing, 2011
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Li, Chunshien, Chiang, Tai-Wei
openaire   +2 more sources

Fuzzy Reliability Evaluation of Complex Systems Using Intuitionistic Fuzzy Sets

2021
In a system where it cannot be reduced to a pure series and parallel form (i.e., complex), reliability is obtained by universal generating function (UGF) technique. The intuitionistic fuzzy sets (IFS) concept with triangular fuzzy number (TFN) and Weibull lifetime distribution is introduced to find the fuzzy reliability of the same system.
Ashok Singh Bhandari, Akshay Kumar, Mangey Ram   +2 more
openaire   +1 more source