Article detail · 2020
Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization
Journal
JOURNAL OF INTELLIGENT FUZZY SYSTEMSISSN 1064-1246
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2020
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue JOURNAL OF INTELLIGENT FUZZY SYSTEMS
- Catalog match (ISSN) Journal of Intelligent and Fuzzy Systems
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
There are some studies and methods in the literature to understand customer needs and behaviors from the path. However, path analysis has a complex structure because the many customers can follow many different paths. Therefore, clustering methods facilitate the analysis of the customer location data to evaluate customer behaviors. Therefore, we aim to understand customer behavior by clustering their paths. We use an intuitionistic fuzzy c-means clustering (IFCM) algorithm for two-dimensional indoor customer data; case durations and the number of visited locations. Customer location data was collected by Bluetooth-based technology devices from one of the major shopping malls in Istanbul. Firstly, we create customer paths from customer location data by using process mining that is a technique that can be used to increase the understandability of the IFCM results. Moreover, we show with this study that fuzzy methods and process mining technique can be used together to analyze customer paths and gives more understandable results. We also present behavioral changes of some customers who have a different visit by inspecting their clustered paths.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
21 citations
OpenAlex cited_by_count (cache / database)
9 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification 2021
- A process-centric performance management in a call center 2023
- Process mining based on patient waiting time: an application in health processes 2022
- Segmentation of Retail Consumers with Soft Clustering Approach 2020
- Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey 2022
- Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey 2022
- Natural gas consumption behavior of companies by clustering analysis 2021
- From indoor paths to gender prediction with soft clustering 2020
- USING INTUITIONISTIC FUZZY C-MEANS CLUSTERING ALGORITHMS TO MODEL COVID-19 CASES FOR COUNTRIES IN THE WORLDWIDE 2023