It is the case that, in certain applications of fuzzy graphs, a t-norm, instead of a minimum, is more suitable. This requires the development of a new theory of fuzzy graphs involving an arbitrary t-norm in the basic definition of a fuzzy graph. There is very little known about this type of fuzzy graph. The purpose of this paper is to further develop this type of fuzzy graph. We concentrate on the relatively new concept of fuzzy incidence graphs
Abstract. A fuzzy graph (f-graph) is a pair G: (σ, µ) where σ is a fuzzy subset of a set S and µ is ...
Abstract Objective The study of total fuzzy graphs in all cases is crucial for the development of bo...
A new approach to normalizing fuzzy sets is introduced where it is assumed that the normalization me...
It is the case that, in certain applications of fuzzy graphs, a t-norm, instead of a minimum, is mor...
Fuzzy graphs (FGs), broadly known as fuzzy incidence graphs (FIGs), have been recognized as being an...
In this research article, we initiate the novel idea of picturefuzzy incidence graphs (PFIGs). We ex...
Connectivity is a key theory in fuzzy incidence graphs FIGs. In this paper, we introduced connectivi...
Fuzzy graphs (FGs), broadly known as fuzzy incidence graphs (FIGs), are an applicable and well-organ...
In this article, we introduce the notions of maximal products of fuzzy graph structures, regular fuz...
In this paper, we dene fuzzy tolerance, fuzzy tolerance graph, fuzzy bounded tol-erance graph, fuzzy...
In this research article, we presented the idea of intuitionistic fuzzy incidence graphs (IFIGs) alo...
Generalized fuzzy graphs are perfect to represent any system like networks, images, scheduling, etc....
For the first time, We do fuzzification the concept of domination in crisp graph on a generalization...
The extension of bipolar fuzzy graph is bipolar fuzzy incidence graph (BFIG) which gives the informa...
The relationships between different types of arcs in both regular and totally regular fuzzy graphs a...
Abstract. A fuzzy graph (f-graph) is a pair G: (σ, µ) where σ is a fuzzy subset of a set S and µ is ...
Abstract Objective The study of total fuzzy graphs in all cases is crucial for the development of bo...
A new approach to normalizing fuzzy sets is introduced where it is assumed that the normalization me...
It is the case that, in certain applications of fuzzy graphs, a t-norm, instead of a minimum, is mor...
Fuzzy graphs (FGs), broadly known as fuzzy incidence graphs (FIGs), have been recognized as being an...
In this research article, we initiate the novel idea of picturefuzzy incidence graphs (PFIGs). We ex...
Connectivity is a key theory in fuzzy incidence graphs FIGs. In this paper, we introduced connectivi...
Fuzzy graphs (FGs), broadly known as fuzzy incidence graphs (FIGs), are an applicable and well-organ...
In this article, we introduce the notions of maximal products of fuzzy graph structures, regular fuz...
In this paper, we dene fuzzy tolerance, fuzzy tolerance graph, fuzzy bounded tol-erance graph, fuzzy...
In this research article, we presented the idea of intuitionistic fuzzy incidence graphs (IFIGs) alo...
Generalized fuzzy graphs are perfect to represent any system like networks, images, scheduling, etc....
For the first time, We do fuzzification the concept of domination in crisp graph on a generalization...
The extension of bipolar fuzzy graph is bipolar fuzzy incidence graph (BFIG) which gives the informa...
The relationships between different types of arcs in both regular and totally regular fuzzy graphs a...
Abstract. A fuzzy graph (f-graph) is a pair G: (σ, µ) where σ is a fuzzy subset of a set S and µ is ...
Abstract Objective The study of total fuzzy graphs in all cases is crucial for the development of bo...
A new approach to normalizing fuzzy sets is introduced where it is assumed that the normalization me...