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Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework

Anjali Chouhan1 , Garima Singh2 , Payal Shrivastava3

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.2 , pp.41-46, Apr-2024


Online published on Apr 30, 2024


Copyright © Anjali Chouhan, Garima Singh, Payal Shrivastava . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Anjali Chouhan, Garima Singh, Payal Shrivastava, “Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.11, Issue.2, pp.41-46, 2024.

MLA Style Citation: Anjali Chouhan, Garima Singh, Payal Shrivastava "Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework." International Journal of Scientific Research in Mathematical and Statistical Sciences 11.2 (2024): 41-46.

APA Style Citation: Anjali Chouhan, Garima Singh, Payal Shrivastava, (2024). Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework. International Journal of Scientific Research in Mathematical and Statistical Sciences, 11(2), 41-46.

BibTex Style Citation:
@article{Chouhan_2024,
author = {Anjali Chouhan, Garima Singh, Payal Shrivastava},
title = {Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {4 2024},
volume = {11},
Issue = {2},
month = {4},
year = {2024},
issn = {2347-2693},
pages = {41-46},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=3487},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=3487
TI - Optimization of Washing Machine Performance Using Fuzzy Logic Control: A Theoritical Framework
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - Anjali Chouhan, Garima Singh, Payal Shrivastava
PY - 2024
DA - 2024/04/30
PB - IJCSE, Indore, INDIA
SP - 41-46
IS - 2
VL - 11
SN - 2347-2693
ER -

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Abstract :
The washing machine stands as an essential appliance in every household, addressing a fundamental need for cleanliness and convenience. This paper delves into the key operational factors of washing machines, particularly focusing on fuzzy logic control. We aim to explore how fuzzy logic enhances washing machine efficiency and how it can be further optimized for future applications. By dissecting the role of fuzzy logic in washing machines, this paper seeks to elucidate its benefits and potential for improvement. This research is based on fuzzy logic`s impact on washing machine performance, ultimately striving for enhanced efficacy and utility in our daily lives. By comprehending the intricate interplay between fuzzy logic and washing machine dynamics, we endeavour to unlock their full potential, paving the way for a future where washing machines are not just appliances, but indispensable allies in our daily lives.

Key-Words / Index Term :
Fuzzy Logic, Fuzzy Logic Control, Linguistic Control, Optimization, Fuzzification, Defuzzification

References :
[1] Agarwal M., “Fuzzy logic control of washing machines,” Institute of Technology, India, pp:1-5, 2016.
[2] Dash, Sanjit Kumar, Gouravmoy Mohanty, and Abhishek Mohanty, "Intelligent air conditioning system using fuzzy logic," International Journal of Scientific & Engineering Research, India, pp: 1-6, 2012.
[3] Hayward, G. and Davidson V., “Fuzzy logic applications,” Analyst, Canada, pp: 1304-1306, 2003.
[4] Kumar, M., Misra, L. and Shekhar, G., “A survey in fuzzy logic: an introduction,” Int. J. Sci. Res. Dev, Vol.3, Issue.4, pp: 822-824, 2015.
[5] L. B. Bhajantri, “Fuzzy Logic Based Fault Detection in Distributed Sensor Networks,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.2, pp: 27-32, 2018.
[6] M.A. Islam, M.S. Hossain, I.S.M. Haque, “Mathematical Comparison of Defuzzification of Fuzzy Logic Controller for Intelligence Air Conditioning System,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.8, Issue.2, pp: 29-37, 2021.
[7] Makkar, Renu, "Application of fuzzy logic: A literature review," Int. J. Stat. Appl. Math, India, pp: 357-359, 2018.
[8] Pirovano, Michele, "The use of fuzzy logic for artificial intelligence in games," University of Milano, Italy, 2012.
[9] Raja, K., and S. Ramathilagam, "Fuzzy logic control system of washing machine using Python," Malaya Journal of Matematik, India, pp: 476-479, 2021.
[10] Sachdeva, Kavita, Madasu Hanmandlu, and Amioy Kumar, "Real life applications of fuzzy decision tree," International Journal of Computer Applications, India, pp:24-28, 2012.
[11] Zadeh, L.A., “Fuzzy sets,” Information and control, Vol.8, Issue.3, pp.338-353, 1965.

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