Fuzzy optimisation for business analytics: A bibliometric analysis
Business analytics refers to the application of sophisticated tools to obtain valuable information from a large dataset that is generated by a company. Among these tools, fuzzy optimisation stands out because it helps decision-makers to solve optimisation problems considering the uncertainty that co...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Artículo |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://doi.org/10.3233/JIFS-221573 https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs221573 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Business analytics refers to the application of sophisticated tools to obtain valuable information from a large dataset that is generated by a company. Among these tools, fuzzy optimisation stands out because it helps decision-makers to solve optimisation problems considering the uncertainty that commonly occurs in application domains. This paper presents a bibliometric analysis following the PRISMA statement on the Dimensions database to obtain publications related to fuzzy optimisation applied to business domains. The purpose of this analysis is to gather useful information that can help researchers in this area. A total of 2,983 publications were analysed usingVOSviewer to identify the trend in the number of publications per year, relationships in terms of both the title and abstract of these publications, most influential publications, and relationships among journals, authors, and institutions. |
|---|