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Identification of fuzzy blocks using sum distance metric

Published: 01 January 2019 Publication History

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.

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Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology  Volume 36, Issue 6
2019
1589 pages

Publisher

IOS Press

Netherlands

Publication History

Published: 01 January 2019

Author Tags

  1. Sum distance metric
  2. strongest strong cycle (SSC)
  3. θ-fuzzy graph
  4. Big-Data

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