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Fuzzy Graph Structures and Its Properties

机译:模糊图结构及其性质

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Objectives: To find the vertex cohesive number and edge cohesive number of Gear and Bistarfuzzy graph structure. Methods/ Statistical Analysis: Gear graph and Bistar graph is converted into a fuzzy graph by assigning membership function for vertices and edges. The edges with same membership function are grouped to get a gear and Bistar fuzzy graph structure. For this Gear and Bistar fuzzy graph structure, vertex and edge cohesive number are computed. Findings: The vertex and edge cohesive number of Gear and Bistar fuzzy graph structure are found. Application: In any organisation, the employees can be treated as vertices. Keeping in mind how one employee co-ordinates with other employee, one can study how employees can work in groups.
机译:目的:寻找Gear和Bistarfuzzy图结构的顶点内聚数和边缘内聚数。方法/统计分析:通过为顶点和边分配隶属函数,将齿轮图和Bistar图转换为模糊图。将具有相同隶属度函数的边进行分组,以获得齿轮和Bistar模糊图结构。对于此Gear和Bistar模糊图结构,计算了顶点和边的内聚数。结果:发现了Gear和Bistar模糊图结构的顶点和边缘内聚数。应用:在任何组织中,员工都可以视为顶点。牢记一位员工与另一位员工的协调方式,可以研究员工如何在小组中工作。

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