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Unsupervised and Supervised Activity Analysis of Drone Sensor Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Fuzzy Logic System Based on Canvas Model to Evaluate the Initial Viability of a Business Proposal

Authors : Carlos Enrique Montenegro Marín, Laura Daniela Acosta Contreras, Andrés Ricardo Barreto López, Paulo Alonso Gaona-García

Published in: Applied Computer Sciences in Engineering

Publisher: Springer International Publishing

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Abstract

Currently, there are many programs that support entrepreneurship as a way to improve economic and social conditions of a country. In this article is designed the model of a fuzzy logic system with the aim of providing a tool that allows generating an initial indicator of the viability of a product or business proposal, based on the model design Canvas and using as a reference the EMIS Benchmarking Score proposed by the Euromoney Institutional Investor Company (EMIS), an organization that provides financial information of companies. The implementation of this prototype taken from experimental data achieved a correlation of 88%, which implies that the model is stable and it fits with the established metrics for the benchmark.

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previous chapter Generalization of Fuzzy Inference System Based on Boolean and Kleenean Relations FIS-BKR for Modelling and Control
next chapter A Distance Measure Between Fuzzy Variables
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Metadata
Title
Fuzzy Logic System Based on Canvas Model to Evaluate the Initial Viability of a Business Proposal
Authors
Carlos Enrique Montenegro Marín
Laura Daniela Acosta Contreras
Andrés Ricardo Barreto López
Paulo Alonso Gaona-García
Copyright Year
2017
Book
Applied Computer Sciences in Engineering

Print ISBN: 978-3-319-66962-5

Electronic ISBN: 978-3-319-66963-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66963-2_33

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