Climatic analysis based on interval-valued complex Pythagorean fuzzy graph structure

S.N.SUBER Bathusha, S.ANGELIN Kavitha Raj
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Abstract

The Interval-valued Complex Pythagorean Fuzzy Set (IVCPFS), an extension of the Pythagorean Fuzzy Set (PFS), offers a more accurate description of uncertainty than traditional fuzzy sets. It has numerous uses in fuzzy control. In this research study, we show the concept of Interval-Valued Complex Pythagorean Fuzzy Graph Structure (IVCPFGS), as well as the results of some regular IVCPFGS and totally regular IVCPFGS, along with the degree of vertex present. We also discussed the subdivision of an IVCPFGS, the  complement IVCPFGS, and the strength of a Path in an IVCPFGS. Finally, we discuss a realworld example based on temperature variation and climatic data analysis in an environment with an interval-valued complex Pythagorean fuzzy framework to demonstrate the applicability of the generated results.
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基于区间值复毕达哥拉斯模糊图结构的气候分析
区间值复杂毕达哥拉斯模糊集(IVCPFS)是毕达哥拉斯模糊集(PFS)的扩展,与传统模糊集相比,它能更准确地描述不确定性。它在模糊控制中有着广泛的应用。在这项研究中,我们展示了区间值复杂毕达哥拉斯模糊图结构(IVCPFGS)的概念,以及一些正则 IVCPFGS 和完全正则 IVCPFGS 的结果,以及存在的顶点度。我们还讨论了 IVCPFGS 的细分、互补 IVCPFGS 以及 IVCPFGS 中路径的强度。最后,我们讨论了一个基于温度变化和气候数据分析的实际案例,该案例的环境采用了区间值复毕达哥拉斯模糊框架,以证明所生成结果的适用性。
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