A note on bipolar fuzzy graph representation of concept lattice

Singh, Prem Kumar; Cherukuri, Aswani Kumar

doi:10.1504/ijcsm.2014.066426

Cited by 20 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FCA in the fuzzy setting is well established mathematical model for handling uncertainty and incompleteness in data with fuzzy attributes. Further it enhanced with intervalvalued [6] and bipolar [37] fuzzy set for adequate representation of attributes based on given context. These available approaches in FCA with fuzzy setting represents acceptation and rejection of attributes in the seized scale [0,1] or [-1,1].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Three-way fuzzy concept lattice representation using neutrosophic set

Singh

2016

Int. J. Mach. Learn. & Cyber.

Self Cite

110

View full text Add to dashboard Cite

Recently, three-way concept lattice is studied to handle the uncertainty and incompleteness in the given attribute set based on acceptation, rejection, and uncertain regions. This paper aimed at analyzing the uncertainty and incompleteness in the given fuzzy attribute set characterized by truth-membership, indeterminacy-membership, and falsity membership functions of a defined single-valued neutrosophic set. For this purpose a method is proposed to generate the component wise three-way formal fuzzy concept and their hierarchical order visualization in the fuzzy concept lattice using the properties of neutrosophic graph, neutrosophic lattice, and Gödel residuated lattice with an illustrative example.

show abstract

Section: Discussionmentioning

confidence: 99%

“…The properties of fuzzy concept lattice is applied in various fields for knowledge processing task [2] with augmentation in interval-valued [23] and bipolar [37] fuzzy concept lattice. Recently, three-way formal concept analysis [11], its connection with classical concept lattice [12] is studied.…”

Section: Introductionmentioning

confidence: 99%