托普西斯
数量结构-活动关系
模糊逻辑
晶体结构
数学
六方晶系
计算机科学
化学
人工智能
结晶学
运筹学
机器学习
作者
Xiujun Zhang,Adnan Aslam,Saadia Saeed,Asima Razzaque,Salma Kanwal
标识
DOI:10.1080/07391102.2023.2209656
摘要
Chemical graph theory has revolutionary impacts in the field of mathematical chemistry when complex structures are investigated through various chemical invariants (topological indices). We have performed evaluations by considering alternatives as crystal structures, namely Face-Centered Cubic (FCC), hexagonal close-packed (HCP), Hexagonal (HEX), and Body Centered Cubic (BCC) Lattice structures, through the study of two-dimensional degree-based chemical invariants, which we considered criteria. QSPR modeling has been implemented for the targeted crystal structures to investigate the ability of targeted chemical invariants to predict targeted physical properties. Furthermore, the Fuzzy-TOPSIS technique provides the optimal structure HCP ranking as first among all structures when investigated under more than one criterion, which justifies further that the structure attaining dominant countable invariant values ranks high when investigated through physical properties and fuzzy TOPSIS.Communicated by Ramaswamy H. Sarma.
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