How can we use machine learning for characterizing organizational identification - a study using clustering with Picture fuzzy datasets

How can we use machine learning for characterizing organizational identification - a study using clustering with Picture fuzzy datasets

This work introduces a data-driven approach based on k-means clustering with datasets elicited under a Picture fuzzy set (PFS) environment. With the vision, mission, and goals statement as a proxy for organizational identity, an actual case study is reported to demonstrate the application of the pro...

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Bibliographic Details
Main Authors: Adrian Ybañez, Rosein Ancheta, Jr., Samantha Shane Evangelista, Joerabell Lourdes Aro, Fatima Maturan, Nadine May Atibing, Egberto Selerio, Jr., Kafferine Yamagishi, Lanndon Ocampo
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Journal of Information Management Data Insights
Subjects:
Big data analytics
k-means clustering
Picture fuzzy sets
Organizational identity
Organizational identification
Online Access:http://www.sciencedirect.com/science/article/pii/S2667096823000046

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http://www.sciencedirect.com/science/article/pii/S2667096823000046

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