title: Novel applications of intuitionistic fuzzy digraphs in decision support systems.
abstract: Many problems of practical interest can be modeled and solved by using graph algorithms. In general, graph theory has a wide range of applications in diverse fields. In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, intuitionistic fuzzy digraphs in vulnerability assessment of gas pipeline networks, and intuitionistic fuzzy digraphs in travel time are presented as examples of intuitionistic fuzzy digraphs in decision support system. We have also designed and implemented the algorithms for these decision support systems.
authors.affiliation: Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan.
authors.forename: Muhammad
authors.identifier: 0000-0001-7217-7962
authors.initials: M
authors.lastname: Akram
authors.affiliation: Punjab University College of Information Technology, University of the Punjab, Old Campus, Lahore 54000, Pakistan.
authors.forename: Ather
authors.identifier: 0000-0002-7963-553X
authors.initials: A
authors.lastname: Ashraf
authors.affiliation: Punjab University College of Information Technology, University of the Punjab, Old Campus, Lahore 54000, Pakistan.
authors.forename: Mansoor
authors.initials: M
authors.lastname: Sarwar
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D008962:Models, Theoretical