Integral measurement to establish consumer confidence in Mexico through a fuzzy logic system
DOI:
https://doi.org/10.46661/rev.metodoscuant.econ.empresa.8771Keywords:
Confidence indicator, fuzzy logic, fuzzy rules, fuzzy inference systemAbstract
In Mexico, the consumer confidence indicator is managed by the National Institute of Statistics and Geography. This indicator is obtained through the ENCO survey, which uses 5 specific variables out of the 15 captured by the instrument. Countries that carry out this measurement also use a reduced number of questions. Mexico is no exception; however, the variables selected by the institute for constructing the indicator result in the monthly published data having little variability, as they overlook aspects of the individual's economy that are important to them. To address this issue, the objective is to design a mechanism through the methodology of fuzzy inference systems that allows for a comprehensive measurement of confidence. To achieve this goal, the 15 questions that constitute the entire basic questionnaire of the ENCO survey are considered, and using factor analysis, the previous information is grouped into only 3 new variables that are introduced into the inference system. As a result of this process, a measure is obtained that behaves similarly to the official figures, with the advantage of being more sensitive due to the incorporation of important aspects related to family purchasing power that are not considered in the institute's measurement. This work represents an advance in the research line for measuring such confidence.
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