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Fuzzy influence graphs with applications
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AI
DOI：10.1016/j.fss.2022.02.009.png)
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Abstract
En 中文
Influence graphs can represent natural flow networks with extra illegal flow conditions. They have been used in physical problems related with networking and trafficking. Through this paper, the connectivity thoughts in fuzzy influence graphs are extended along with the study of several fundamental properties of such graphs. Fuzzy influence cycles and special influence vertices are studied and the relationships between several influence parameters have been found. Some applications are proposed towards the end related with human trafficking networks and highway ramp systems. (c) 2022 Elsevier B.V. All rights reserved.
Keywords:
Fuzzy influence graph
Fuzzy influence tree
Strong influence pair
Influence cutpair
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