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Article type: Research Article
Authors: Sumathi, R.a; b | Sujatha, R.c; * | Sundareswaran, R.c
Affiliations: [a] Research & Development Center, Bharathiar University, Coimbatore, Tamil Nadu, India | [b] Prince Shri Venkateshwara Padmavathi Engineering College, Chennai, Tamil Nadu, India | [c] Department of Mathematics, SSN College of Engineering, Chennai, Tamil Nadu, India
Correspondence: [*] Corresponding author. R. Sujatha, Department of Mathematics, SSN College of Engineering, Chennai, Tamil Nadu, India. E-mail: [email protected].
Abstract: — In this paper, new concepts are introduced to enhance the process of block identification in fuzzy graphs using sum distance metric and special type of cycles, which is called a strongest strong cycle, locamin cycle. An Algorithm is developed for retrieving information from Big-Data using block identification.
Keywords: Sum distance metric, strongest strong cycle (SSC), θ-fuzzy graph, Big-Data
DOI: 10.3233/JIFS-17707
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 5203-5211, 2019
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