Cyclic connectivity index of bipolar fuzzy incidence graph
Abstract: In the performance characterization of chemical molecular structures, several uncertain properties are often encountered, and fuzzy theory is precisely the tool to characterize these uncertainties. When molecular structures are described by molecular graphs, the corresponding fuzzy graph theory is used to characterize the uncertainty of atoms and atomic bonds. In this study, there is introduced cyclic connectivity index and its average version for bipolar fuzzy incidence graph (BFIG), and several theoretical results are obtained in the light of graph theory and fuzzy theory. Finally, the given new fuzzy index is applied to the testing of anti-aging-related drugs yields average uncertainty data for the corresponding molecular structures.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Cyclic connectivity index of bipolar fuzzy incidence graph ; volume:20 ; number:1 ; year:2022 ; pages:331-341 ; extent:11
Open chemistry ; 20, Heft 1 (2022), 331-341 (gesamt 11)
- Urheber
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Lu, Juanjuan
Zhu, Linli
Gao, Wei
- DOI
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10.1515/chem-2022-0149
- URN
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urn:nbn:de:101:1-2022071515250985124116
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:36 MESZ
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Beteiligte
- Lu, Juanjuan
- Zhu, Linli
- Gao, Wei
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