FUZZY MODELS AND HEURISTIC ALGORITHMS FOR A CLASS OF GRAPH PROBLEMS

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dc.contributor.author Verma, Madhushi
dc.date.accessioned 2023-05-15T07:04:17Z
dc.date.available 2023-05-15T07:04:17Z
dc.date.issued 2015
dc.identifier.other TH321
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2365
dc.description This thesis submitted by IIT BHU Varanasi, Phd scholar and supervised by Prof. K. K. Shukla. en_US
dc.description.abstract Graphs 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.language.iso en en_US
dc.publisher iit bhu varanasi en_US
dc.subject FUZZY MODELS en_US
dc.subject HEURISTIC ALGORITHMS en_US
dc.title FUZZY MODELS AND HEURISTIC ALGORITHMS FOR A CLASS OF GRAPH PROBLEMS en_US
dc.type Thesis en_US


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