Irregularities indices are commonly utilized for quantitative portrayal of topological structure of graphs which are not regular. As indicated by a broadly acknowledged bias, utilizing a topological descriptor (known as irregularity index of a graph) for that reason, the consequences of graph irregularity grouping ought to be predictable with our abstract decisions (instinctive inclination). In the instance of fundamentally graphs structures which are strongly similar, it is hard to choose the best possible irregularity index by which the irregularity positioning (requesting) of graphs can be acted in a steady way to our fundamental desires. In this work, we explore different prospects of developing alleged composite irregularity indices got as a component of conventional irregularity indices and test their prejudicial performance. In this paper, we will register certain irregularities of a nantube (HAC₅C₇).

中文翻译：

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HAC5C7纳米管的分子不规则性描述符

不规则指数通常用于定量描述不规则图的拓扑结构。正如广泛承认的偏见所表明的那样，由于这个原因，使用拓扑描述符（称为图的不规则指数），图不规则分组的后果应该可以通过我们的抽象决策（本能倾向）来预测。在基本图结构非常相似的情况下，很难选择最佳的不规则性指数，通过该指数，图的不规则性定位（请求）可以稳定地满足我们的基本需求。在这项工作中，我们探索了开发所谓的复合不规则指数作为常规不规则指数的组成部分的不同前景，并测试它们的偏见性能。在本文中，H A C ₅ C ₇ )。