Data Clustering for Identification of Building Conditions Using Hybrid Multivariate Multinominal Distribution Soft Set (MMDS) Method

Data Clustering for Identification of Building Conditions Using Hybrid Multivariate Multinominal Distribution Soft Set (MMDS) Method

Identifying building conditions for user safety is an urgent matter, especially in earthquake-prone areas. Clustering buildings according to their conditions in the categories of danger, vulnerable, normal, and safe is important information for residents and the government to take further action. Th...

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Bibliographic Details
Main Authors: Rohmat Saedudin, Iwan Tri Riyadi Yanto, Avon Budiono, Sely Novita Sari, Mustafa Mat Deris, Norhalina Senan
Format: Article
Language:English
Published: Politeknik Negeri Padang 2022-06-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
clustering
soft set
multivariate multinomial distribution
Online Access:https://joiv.org/index.php/joiv/article/view/986

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