An Immense Approach of High Order Fuzzy Time Series Forecasting of Household Consumption Expenditures with High Precision Cover

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An Immense Approach of High Order Fuzzy Time Series Forecasting of Household Consumption Expenditures with High Precision

Applied Computer Systems

Volume 29 (2024): Issue 1 (June 2024)

By: Syed Muhammad Aqil Burney , Muhammad Shahbaz Khan , Affan Alim and Riswan Efendi

Open Access

|Aug 2024

Authors

Syed Muhammad Aqil Burney

aqil.burney@iobm.edu.pk

College of Computer Science and Information Systems, Institute of Business Management, Department of Computer Science, University of Karachi, Karachi

Muhammad Shahbaz Khan

shahbazk@kiet.edu.pk

College of Humanities and Sciences, Karachi Institute of Economics and Technology, Pakistan

Affan Alim

dr.affan@iqra.edu.pk

Computer Science Department, IQRA University, Karachi, Pakistan

Riswan Efendi

riswanefendi@fsmt.upsi.edu.my

Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia

DOI: https://doi.org/10.2478/acss-2024-0001 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683

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Language: English

Page range: 1 - 7

Submitted on: Jun 6, 2023

Accepted on: Dec 18, 2023

Published on: Aug 15, 2024

Published by: Riga Technical University

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

fuzzy relationship,

fuzzy time series,

second-order fuzzy sets,

Related subjects:

Computer sciences,

Artificial intelligence,

Information technology,

Project management,

Software development

© 2024 Syed Muhammad Aqil Burney, Muhammad Shahbaz Khan, Affan Alim, Riswan Efendi, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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