IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 16, Issue 3 Ser. IV (May – June 2020), PP 01-08 www.iosrjournals.org DOI: 10.9790/5728-1603040108 www.iosrjournals.org 1 | Page Application Of Fuzzy Logic On Washing Machine Decision Algorithms Veysel Güney YILMAZ * and Emine CAN ** * TEV Inanc High School, 41400, Kocaeli/Turkey ** Istanbul Medeniyet University, Department of Physics Engineering, 34700, Istanbul/Turkey Washing machines are part of almost every house now, as they provide individuals with a fast and successful way to clean up clothes. However, they lack the automaticity which would save loads of time when the thought of how much time is spent on determining the appropriate program. Standard washing machines also lack the number of choices in terms of temperature, washing cycle, etc. since such detailed input cannot be easily determined by non-professional washing machine users.This paper aims to suggest a washing machine algorithm that even non-professional washing machine users can use without trouble, which provides the optimal program according to the specified cloth types regarding their colours, delicacy levels and stain levels using “Fuzzy Logic” as a mathematical plane. The fuzzy approach provides a reasonable base for the resulting washing program by combining human intelligence and decision skills with machine precision. Another contribution of this mathematical system to the algorithm is its adaptability to various conditions in washing a cloth such as taking its colour, delicacy level, and stain level into consideration. As a result, the algorithm gives out three outputs namely “Washing Cycle”, “Spin Cycle” and “Temperature” in which “Fuzzy Intersection” and “Fuzzy Weighted Average“methods are used to achieve. Keywords: Color, Delicacy, Fuzzy Logic, Fuzzy Operator, Revolution per Minute,Stain Level, Temperature, Washing Machine Algorithm. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 20-05-2020 Date of Acceptance: 09-06-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction Fuzzy logic is a mathematical plane which allows us to convert lingual elements into parameters during any computation. On that sense, fuzzy logic fits perfectly in decision-making algorithms which requires acombination of the judgmental skills of a human and the precision of machines [1]. While applying fuzzy logic, the mathematician assigns membership functions for lingual variables in which every variable gives out an output value between 0 and 1. For example, the mathematician may define the age that is most appropriate for the word “young” as 20 years, and for every age from 20, the individual moves away from being young by 5%. In this case, the membership function for being young is defined as    =  1 − 20− 20  ⅈ0 ≤≤ 10 0  > 40 where the function defined on$0, +∞ → 0,1$. That way, “youngness” is given mathematical boundaries with membership values. With the developing technology, most machines became automatic such as computers and cell phones which do not require human modifications to work. However, the applicationof the automaticity in cleaning industry was not as successful so far due to the abundance of variables such as extensive range of materials, colours, level of stain and amount of load in clothing. The quantity of parameters increases the risk of spoiling the clothes which discourages any attempt of automaticity in washing machines. Nonetheless, the main aim of this research is to encourage other researchers to offer new methods for Artificial Intelligence (AI) systems for washing machines as well as suggesting an intelligent decision algorithm with minimum possibility of spoiling the clothes and energy waste. So, the resulting optimum program will be determined upon the balanced aim of wrinkling and damaging the clothes as least as possible as well as providing cleanness to the highest degree.To do this, the algorithm should include individual evaluation of the clothes’ properties, combined with machine evaluation of the appropriate program. As a result, the determination of the algorithm will consist of 3 parts: fuzzification of the crisp set, assessment of the data in fuzzy form, and defuzzification[1]. That way, the fittest scenario will be decided according to 3 parameters namely “Delicacy of the Cloth”, “Level of Stain on the Cloth” and “Color of the Cloth” where the output will be “Revolution per Minute of The Washing Cycle”, “Revolution per Minute of The Spin Cycle”, and “Temperature of Water”.