Title
Directed Fuzzy Networks As A Model To Illicit Flows And Max Flow Min Cut Theorem
Abstract
Directed fuzzy networks are introduced in this paper. They are normalized node capacitated networks and provide a good platform to model di r erent types of complicated ows in nature. A directed fuzzy network version of Menger's theorem and the celebrated Maxow Min cut theorem are also provided. Since the maximum ow through minimum number of directed internally disjoint paths is important in quality of service (QoS) problems in networking, the results in this paper can be applied to a wide variety of problems.
Year
DOI
Venue
2017
10.1142/S1793005717400075
NEW MATHEMATICS AND NATURAL COMPUTATION
Keywords
Field
DocType
Fuzzy set, fuzzy graph, directed fuzzy network, human trafficking
Discrete mathematics,Combinatorics,Normalization (statistics),Disjoint sets,Max-flow min-cut theorem,Fuzzy logic,Quality of service,Fuzzy set,Maximum flow problem,Human trafficking,Mathematics
Journal
Volume
Issue
ISSN
13
3
1793-0057
Citations 
PageRank 
References 
1
0.40
4
Authors
2
Name
Order
Citations
PageRank
Sunil Mathew116224.58
John N. Mordeson230257.25