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FUZZY MODELS AND HEURISTIC ALGORITHMS FOR A CLASS OF GRAPH PROBLEMS

dc.contributor.authorVerma, Madhushi
dc.date.accessioned2023-05-15T07:04:17Z
dc.date.available2023-05-15T07:04:17Z
dc.date.issued2015
dc.descriptionThis thesis submitted by IIT BHU Varanasi, Phd scholar and supervised by Prof. K. K. Shukla.en_US
dc.description.abstractGraphs can represent the pair wise relations between the objects from a collection and can be denoted as , , where and signifies the set of vertices and set of edges respectively. Graphs find application in several real life areas like in the GPS system, social networking sites, telecommunication industry, computer science and mathematics etc. In most of the applications, weighted graphs are used, where the weights associated with the edges and the nodes represent the parameters like delay, cost, time, score, distance, capacity etc., which cannot be determined precisely. Therefore, the best way to deal with prevailing uncertainty, is to use fuzzy numbers (instead of crisp numbers) to represent these parameters.en_US
dc.identifier.otherTH321
dc.identifier.urihttps://idr-sdlib.iitbhu.ac.in/handle/123456789/2365
dc.language.isoenen_US
dc.publisheriit bhu varanasien_US
dc.rights.licenseCC BY-NC-SA 4.0
dc.subjectFUZZY MODELSen_US
dc.subjectHEURISTIC ALGORITHMSen_US
dc.titleFUZZY MODELS AND HEURISTIC ALGORITHMS FOR A CLASS OF GRAPH PROBLEMSen_US
dc.typeThesisen_US

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