Results 291 to 300 of about 137,292 (318)

Trends on dominations of fuzzy graphs and anti fuzzy graphs

AIP Conference Proceedings, 2021
After introducing and developing fuzzy graph theory, a lot of studies have been done in this field. The object of this paper is to demonstrate various Dominations such as Edge domination, Total domination, Strong (weak) domination, Regular domination, connected domination, Split (non-split) domination in fuzzy graphs with their importance and ...
Maddur Srinivas   +4 more
openaire   +2 more sources

Hesitant fuzzy graphs, hesitant fuzzy hypergraphs and fuzzy graph decisions1

Journal of Intelligent & Fuzzy Systems, 2021
Up to now, there have been a lot of research results about multi-attribute decision making problems by fuzzy graph theory. However, there are few investigations about multi-attribute decision making problems under the background of indecisiveness. The main reason is that the difference of cognition and the complexity of thinking by decision makers, for
Zengtai Gong, Junhu Wang
openaire   +2 more sources

Graph fuzzy homomorphism interpreted as fuzzy association graphs

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
A new generic definition of graph fuzzy morphism is introduced that includes classical graph related problem definitions as sub-cases. Two practical interpretations as well as some properties are discussed. This definition is a first attempt towards a unified theoretic framework for graph morphism.
Isabelle Bloch, A. Perchant
openaire   +2 more sources

Fuzzy colouring of fuzzy graphs

Afrika Matematika, 2015
Colouring of fuzzy graphs has several applications in real world. In this paper, a new concept of colouring of fuzzy graphs has been introduced. Also, some important terms like strength cut graphs, fuzzy colour, chromatic number of fuzzy graphs have been described. Some relevant results are proved.
Tarasankar Pramanik   +2 more
openaire   +2 more sources

Fuzzy coloring for fuzzy graphs

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
In this paper the questions of coloring of fuzzy graphs are observed. Definitions of separation degree and fuzzy chromatic set of fuzzy graphs are presented. A method for finding fuzzy chromatic set is suggested and substantiated.
A.V. Bozhenuk, L.S. Bershtein
openaire   +2 more sources

Fuzzy Relations and Fuzzy Graphs [PDF]

open access: possible, 1985
Fuzzy relations are fuzzy subsets of X × Y, that is, mappings from X → Y. They have been studied by a number of authors, in particular by Zadeh [1965, 1971], Kaufmann [1975], and Rosenfeld [1975]. Applications of fuzzy relations are widespread and important. We shall consider some of them and point to more possible uses at the end of this chapter.
openaire   +1 more source

FUZZY INTERSECTION GRAPHS OF FUZZY SEMIGROUPS

New Mathematics and Natural Computation, 2006
Let S be a semigroup. This paper studies the intersection graphs of fuzzy semigroups. It is shown that the fuzzy intersection graph Int(G(S)), of S, is complete if and only if S is power joined. If Γ(S) denotes the set of all fuzzy right ideals of S, then the fuzzy intersection graph Int(Γ(S)) is complete if and only if S is fuzzy right uniform ...
M. K. SEN, G. CHOWDHURY, D. S. MALIK
openaire   +3 more sources

Generalized fuzzy Euler graphs and generalized fuzzy Hamiltonian graphs

Journal of Intelligent & Fuzzy Systems, 2018
Graph theory includes two unavoidable graphs, namely Euler graphs and Hamiltonian graphs. In this study, generalized fuzzy Euler graphs (GFEGs) and generalized fuzzy Hamiltonian graphs (GFHGs) are defined to express uncertain system like routes, networks. Here, even degrees of all vertices of graphs do not assure that the graphs are GFEG.
Sovan Samanta, Biswajit Sarkar
openaire   +2 more sources

Fuzzy Graphs and Fuzzy Hypergraphs

2009
Graph theory has numerous application to problems in systems analysis, operations research, economics, and transportation. However, in many cases, some aspects of a graph-theoretic problem may be uncertain. For example, the vehicle travel time or vehicle capacity on a road network may not be known exactly.
Leonid S. Bershtein   +1 more
openaire   +1 more source

Home - About - Disclaimer - Privacy