What is it about?
This paper points out the variances in interval type 2 knowledge bases and their respective effects after developing their respective linear mathematical models.
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Why is it important?
The paper is important for scholars who are interested in developing multiple linear regression models for predictive models. in this paper we developed 3 different knowledge bases and subjecting the knowledge bases to interval type 2 fuzzy simulations, the fuzzy systems gave different outputs based on the knowledge saved on their knowledge bases. we then studied the variances and tabulated them accordingly.
Perspectives
This article articulates mostly on interval type 2 fuzzy knowledge bases, and their impact on the predictive / intelligent models developed from them. it therefore brings it out clearly the need of collecting accurate knowledge from the knowledge expert especially when developing predictive/intelligent systems.
Kevin Gogo
Chuka university
Read the Original
This page is a summary of: Variances in knowledge-based interval type 2 Gaussian fuzzy on linear regression models, Journal of Intelligent & Fuzzy Systems, August 2021, IOS Press,
DOI: 10.3233/jifs-210568.
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