AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS

Authors

  • Nguyễn Thị Như Na The Faculty of Natural Sciences, Dienbien College of Education, Viet Nam

DOI:

https://doi.org/10.37569/DalatUniversity.7.2.242(2017)

Keywords:

Clustering, Fuzzy set, Genetic, Optimal, Swarm.

Abstract

This article presents the application of the Fuzzy Particle Swarm Optimization algorithm for analyzing customer needs. Applying Fuzzy Particle Swarm Optimization algorithm to the problem of a US medical device supplier wanting to analyze the needs of 500 hospitals, in the region in terms of, medical equipment and supplies, the needs analysis assisted. The supplier offering the most suitable business strategies for each hospital to achieve higher revenues.

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Published

28-06-2017

Volume and Issues

Section

Natural Sciences and Technology

How to Cite

Na, N. T. N. (2017). AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS. Dalat University Journal of Science, 7(2), 247-261. https://doi.org/10.37569/DalatUniversity.7.2.242(2017)