Title: Business intelligence: fuzzy logic in the risk client analysis

Authors: Jorge Morris Arredondo; Victor Escobar-Jeria; Juan Luis Castro Peña

Addresses: Informatics Area and Industrial Processes Area, Universidad Tecnológica de Chile, Santiago, Chile ' Informatics and Computer Department, Universidad Tecnológica Metropolitana, Santiago, Chile ' Computer Science and Artificial Intelligence Department, Universidad de Granada, Granada, Spain

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.

Keywords: business intelligence; fuzzy logic; soft computing; decision.

DOI: 10.1504/IJBIDM.2021.117094

International Journal of Business Intelligence and Data Mining, 2021 Vol.19 No.2, pp.153 - 169

Received: 04 Jan 2019
Accepted: 30 May 2019
Published online: 17 Aug 2021 *

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