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Description
Bipolarity refers to the tendency of the human mind to analyze and take responsibility 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 classic and fuzzy models. A bipolar fuzzy graph(BFG) provides more flexibility while modeling human thinking as compared with a fuzzy graph, an interval valued bipolar fuzzy graph(IVBFG) has numerous applications where the real-life life are time dependent, symbolic models used in the expert system are more effective than traditional ones. The aim of this paper is to introduce an interval-valued bipolar line fuzzy graph(IVBFLG).