Interval-valued bipolar fuzzy line graphs.

Journal: BMC research notes
Published Date:

Abstract

OBJECTIVES: The notion of Bipolarity based on positive and negative outcomes. It is well known that bipolar models give more precision, flexibility, and compatibility to the system as compared to the classical models and fuzzy models. A bipolar fuzzy graph(BFG) provides more flexibility while modeling human thinking as compared with a fuzzy graph, and an interval valued bipolar fuzzy graph(IVBFG) has numerous applications where the real-life problem are time dependent and there is a network structure complexity. The aim of this paper is to introduce an interval-valued bipolar line fuzzy graph(IVBFLG).

Authors

  • Keneni Abera Tola
    Department of Mathematics, Wollega University, Nekemte, Ethiopia.
  • V N Srinivasa Rao Repalle
    Department of Mathematics, Wollega University, Nekemte, Ethiopia. rvnrepalle@gmail.com.
  • Mamo Abebe Ashebo
    Department of Mathematics, Wollega University, Nekemte, Ethiopia.