Fuzzy $$\phi $$ ϕ -tolerance competition graphs

Pramanik, Tarasankar; Samanta, Sovan; Sarkar, Biswajit; Pal, Madhumangal

doi:10.1007/s00500-015-2026-5

Cited by 56 publications

(15 citation statements)

References 30 publications

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“…Recently, Pramanik et al [16] defined and studied fuzzy f-tolerance competition graphs. The fuzzy f-tolerance competition graph is an extension of the fuzzy tolerance graph [28].…”

Section: Review Of Previous Researchmentioning

confidence: 99%

Interval-valued fuzzy threshold graph

Pramanik

Pal

Mondal³

2016

Pacific Science Review A: Natural Science and Engineering

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a b s t r a c tInterval-valued fuzzy threshold graph is an extension of fuzzy threshold graph. In this paper, intervalvalued fuzzy threshold graph, interval-valued fuzzy alternating 4-cycle, and interval-valued fuzzy threshold dimension are defined, and certain properties are studied. It is demonstrated that every interval-valued fuzzy threshold graph can be treated as an interval-valued fuzzy split graph.

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“…Recently, Pramanik et al [16] defined and studied fuzzy f-tolerance competition graphs. The fuzzy f-tolerance competition graph is an extension of the fuzzy tolerance graph [28].…”

Section: Review Of Previous Researchmentioning

confidence: 99%

Interval-valued fuzzy threshold graph

Pramanik

Pal

Mondal³

2016

Pacific Science Review A: Natural Science and Engineering

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“…( 2015a , b , c ), Pramanik et al. ( 2016a , b ), Samanta and Pal ( 2011b , 2012b , 2015 , 2016 ) and Samanta et al. ( 2014c , d ).…”

Section: Introductionmentioning

confidence: 96%

A study on vague graphs

et al. 2016

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“…Obviously, a bipolar neutrosophic graph structure can deal with more than one factors involved for particular type of relationship between any two vertices, which is properly explained in this research paper with some interesting real-life applications. For other notations, terminologies and applications are not mentioned in this research article; the readers are referred to Alcantud (2016), Ali et al (2016), Dinesh (2011), Greco and Kadzinski (2018), Luo et al (2018), Majumdar and Samanta (2014), Mordeson and Nair (2001), Myithili et al (2016), Pramanik et al (2016), Sayed et al (2018), Smarandache (1999), Turksen (1986), Wu et al (2017) and Zhan et al (2018).…”

Section: Introductionmentioning

confidence: 99%

Novel decision-making method based on bipolar neutrosophic information

2018

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Fuzzy $$\phi $$ ϕ -tolerance competition graphs

Cited by 56 publications

References 30 publications

Interval-valued fuzzy threshold graph

Interval-valued fuzzy threshold graph

A study on vague graphs

Novel decision-making method based on bipolar neutrosophic information

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