Categorical foundations, fuzzy topology, fuzzy measures, and mathematical applications of fuzzy sets

1991 ◽  
Vol 42 (1) ◽  
pp. 1-2
Author(s):  
Erich Peter Klement
Author(s):  
VicenÇ Torra ◽  
Yasuo Narukawa ◽  
Ronald R. Yager

The literature discusses several extensions of fuzzy sets. AIFS, IVFS, HFS, type-2 fuzzy sets are some of them. Interval valued fuzzy sets is one of the extensions where the membership is not a single value but an interval. Atanassov Intuitionistic fuzzy sets, for short AIFS, are defined in terms of two values for each element: membership and non-membership. In this paper we discuss AIFS and their relationship with fuzzy measures. The discussion permits us to define counter AIFS (cIFS) and discretionary AIFS (dIFS). They are extensions of fuzzy sets that are based on fuzzy measures.


1993 ◽  
Vol 56 (3) ◽  
pp. 331-336 ◽  
Author(s):  
A.K. Chaudhuri ◽  
P. Das
Keyword(s):  

Author(s):  
José-Domingo Mora

Television audiences have been shown to be a mixture of lone individuals and groups of viewers, with groups contributing at least 50% of total ratings. Viewing with others also makes the experience more enjoyable and has important effects on cognitive processing of programs and advertisements. A major problem for researchers and managers is that groups of viewers are dynamic entities difficult to define or measure. This study frames groups of television viewers as fuzzy sets and presents fuzzy measures of group size and composition. The effects of these characteristics on individual consumption of television are assessed using statistical models, which incorporate the arithmetic forms of the proposed measures.


2013 ◽  
Vol 53 ◽  
pp. 27-39 ◽  
Author(s):  
Elena E. Castiñeira ◽  
Tomasa Calvo ◽  
Susana Cubillo
Keyword(s):  

2012 ◽  
Vol 229-231 ◽  
pp. 2663-2666
Author(s):  
Gao Zheng

The similarity measure is one of the most useful fuzzy measures in fuzzy logic theory. In this paper, we propose a new similarity measure between fuzzy sets. As a preparation, we first choose an axiomatic definition for the similarity measure. Then, according to the chosen axiomatic definition, we propose a new computation formula. Finally, we give two examples to validate its performance. The results show that the new similarity measure is rational for fuzzy sets.


2021 ◽  
pp. 1-11
Author(s):  
O.R. Sayed ◽  
N.H. Sayed ◽  
Gui-Xiu Chen

In the present paper, a characterization of the intuitionistic fuzzy sets, the interval-valued intuitionistic fuzzy sets and their set-operations are given. By making use of these characterizations, the relationships between the interval-valued intuitionistic fuzzy topology and four fuzzy topologies associated to it are studied. For this reason, some subclasses of the family of interval-valued intuitionistic fuzzy topologies on a set which we call pre-suitable and suitable are introduced. Furthermore, the concepts of homeomorphism functions and compactness in the framework of interval-valued intuitionistic fuzzy topological spaces are introduced and studied.


Sign in / Sign up

Export Citation Format

Share Document