Results 11 to 20 of about 13,344 (205)
By an intuitionistic fuzzy set (IFS) the author understands a pair of generalized characteristic functions and hence a generalization of a fuzzy set. These two functions for each point of the universe of discourse describe separately its degrees of membership and of nonmembership with respect to the IFS they characterize.
Krassimir T Atanassov
openaire +5 more sources
Intuitionistic fuzzy hypersoft sets
In this paper, a new environment namely, intuitionistic fuzzy hypersoft set (IFHSS) is defined. We introduce some fundamental operators ofintuitionistic fuzzy hypersoft sets such as subset, null set, absolute set, complement, union, intersection, equal set etc. Validity and application are presentedwith appropriate examples.
Yolcu, Adem +2 more
openaire +4 more sources
Triangular norms which are join-morphisms in 3-dimensional fuzzy set theory [PDF]
The n-dimensional fuzzy sets have been introduced as a generalization of interval-valued fuzzy sets, Atanassov's intuitionistic and interval-valued intuitionistic fuzzy sets.
Deschrijver, Glad
core +2 more sources
New operations on cubic intuitionistic fuzzy sets under P–order [PDF]
Cubic intuitionistic fuzzy sets have the efficiency to handle hybrid information, which combines interval-valued intuitionistic fuzzy sets and intuitionistic fuzzy sets.
Priyadharshini Manoharan +2 more
doaj +1 more source
Intuitionistic fuzzy hemiring structure spaces [PDF]
The classical notion of hemirings through Atanassov’s intuitionistic fuzzy sets by extending the concepts of intuitionistic fuzzy hemiring structure spaces.
R. Jeevitha +3 more
doaj +1 more source
Some Properties of Intuitionistic Fuzzy Soft Rings
Maji et al. introduced the concept of intuitionistic fuzzy soft sets, which is an extension of soft sets and intuitionistic fuzzy sets. In this paper, we apply the concept of intuitionistic fuzzy soft sets to rings.
B. A. Ersoy, S. Onar, K. Hila, B. Davvaz
doaj +1 more source
Type-1 Fuzzy Sets and Intuitionistic Fuzzy Sets [PDF]
A comparison between type-1 fuzzy sets (T1FSs) and intuitionistic fuzzy sets (IFSs) is made. The operators defined over IFSs that do not have analogues in T1FSs are shown, and such analogues are introduced whenever possible.
openaire +2 more sources
Intuitionistic Fuzzy Soft Rough Set and Its Application in Decision Making
The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. In this paper, we present concepts of soft rough intuitionistic fuzzy sets and intuitionistic fuzzy soft rough sets, and ...
Haidong Zhang, Lan Shu, Shilong Liao
doaj +1 more source
Some geometrical methods for constructing contradiction measures on Atanassov's intuitionistic fuzzy sets [PDF]
Trillas et al. (1999, Soft computing, 3 (4), 197–199) and Trillas and Cubillo (1999, On non-contradictory input/output couples in Zadeh's CRI proceeding, 28–32) introduced the study of contradiction in the framework of fuzzy logic because of the ...
Blyth T. +12 more
core +2 more sources
Intuitionistic Fuzzy Planar Graphs
Graph theory has numerous applications in modern sciences and technology. Atanassov introduced the concept of intuitionistic fuzzy sets as a generalization of fuzzy sets. Intuitionistic fuzzy set has shown advantages in handling vagueness and uncertainty
Noura Alshehri, Muhammad Akram
doaj +1 more source

