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A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA

by Nikhil Gupta, Gajanand Sharma, Ravi Shanker Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 5
Year of Publication: 2014
Authors: Nikhil Gupta, Gajanand Sharma, Ravi Shanker Sharma
10.5120/18372-9530

Nikhil Gupta, Gajanand Sharma, Ravi Shanker Sharma . A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA. International Journal of Computer Applications. 105, 5 ( November 2014), 11-15. DOI=10.5120/18372-9530

@article{ 10.5120/18372-9530,
author = { Nikhil Gupta, Gajanand Sharma, Ravi Shanker Sharma },
title = { A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 5 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number5/18372-9530/ },
doi = { 10.5120/18372-9530 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:54.673086+05:30
%A Nikhil Gupta
%A Gajanand Sharma
%A Ravi Shanker Sharma
%T A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 5
%P 11-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An Enterprise resource Planning (ERP) system is packaged business software that integrates organizational process and functions into a unified system. Many researchers and practitioners agree that Enterprise Resource Planning (ERP) systems are the most important development in terms of corporate use of information technology (IT) in the 1990s. In this author predict a Comparative study of Anfis membership function selection and prediction of ERP user satisfaction. In which author use eight Anfis membership function that predict different-different output for ERP user satisfaction and predict different diagrams and choose best prediction of Anfis membership function means which function predict their value closer to ERP user satisfaction. In membership function author predict output type constant and linear value and use two sets which predict all eight functions. In this research First author want proposed Anfis membership function. In which author load data sets for training and testing. Both Training and testing data predict different output of all eight membership function.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Implementation ANFIS ANFIS membership functions output type – constant linear

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