Mapping a Pricing Process through a Fuzzy Inference System
decision-support for a small business entrepreneur
DOI:
https://doi.org/10.51923/repae.v8i2.305Palavras-chave:
Fuzzy Logic, Pricing, Fuzzy Inference System, Small BusinessResumo
Many business owners face struggles in determining their prices even with great experience and knowledge in their fields. The present paper addresses one case of this issue: a professional and entrepreneur that offers mechanical and lathe services in his own workshop. The goal of this work was to map the intuitive pricing process of the entrepreneur through a Fuzzy Inference System (FIS). Many fuzzy aspects such as the imprecision, uncertainty, and ambiguity of these lathe and maintenance services were related to the potential benefits of FIS, clarifying which methods were used and why. This FIS was constructed to mimic the empirical pricing process of the referred professional and, in this task, this project was successful. Output surfaces showed that complexity and goods value have significant effects just above medium levels and that their impact has a smaller weight than the estimated time. Furthermore, some unexpected outcomes were reached in the system development. Not only was the entrepreneur's reasoning mapped but it also provided more understanding of his own market.
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