Business intelligence: fuzzy logic in the risk client analysis
by Jorge Morris Arredondo; Victor Escobar-Jeria; Juan Luis Castro Peña
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 19, No. 2, 2021

Abstract: The following paper focuses on achieving accurate results through rough data. Using an inference model based on fuzzy logic, human reasoning was proactively stimulated, under certain conditions, in order to deal with the possibility of client-loss due to service quality. The experimentation is carried out by information related of complaint receipts from a period of two years (70,000 registers). For that effect, a prototypical program is set in C++ language, which receives as input the crisp values that result from the failure resolution for each relevant service. The proposed model is intended to classify clients according to the risk they may have in the contractual relationship with the company.

Online publication date: Tue, 17-Aug-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email