Open AccessA Learn Of Fuzzy Regression Model and Its Applications
Author(s) -
B. Anandhavel,
T. Edwin Prabakaran
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2415.078219
Subject(s) - proper linear model , fuzzy logic , regression analysis , linear regression , computer science , mathematics , regression diagnostic , regression , artificial intelligence , polynomial regression , machine learning , data mining , statistics
Many statistics report shown in fuzzy module into clear problems using the centroid system, consequently we will research the usual linear regression model which is modified from the fuzzy linear regression model. The models enter and generate fuzzy numbers, and the regression coefficients are clear numbers. Hybrid algorithms are considered to fit the fuzzy regression model. So that the validity and quality of the suggested methods can be guaranteed. Therefore,the parameter estimation and have an impact on evaluation situated on knowledge deletion. By way of the gain knowledge of example and evaluation with other model, it may be concluded that the model in this paper is utilized without difficulty and better.