TITLE:
Fuzzy Synthetic Evaluation Model for Smart Washing Machine
AUTHORS:
Samsun Nahar, Marin Akter, Khadiza Begum, Mahede-Ul- Hassan, Md. Abdul Alim
KEYWORDS:
Fuzzy Control System, Fuzzy Synthetic Evaluation Method, Analytic Hierarchy Process Method, Mamdani Approach, Statistical Averaging Method
JOURNAL NAME:
American Journal of Operations Research,
Vol.13 No.4,
July
27,
2023
ABSTRACT: Generally
fuzzy control system (FCS) is worked in washing machine. For the fuzzy set
theory, membership functions are the building blocks. In a fuzzy set, fuzziness is determined
by its membership functions. The shapes of membership functions are important, because it has an effect
on fuzzy inference system. The shapes of membership functions can be
triangular, trapezoidal and gaussian. The most widely used triangular membership
function is used in this paper, because
it can capture the short time period. In washing machine, open loop control system
is found. This paper applies a fuzzy synthetic evaluation method (FSEM) for
washing cloth in washing machine as FSEM can handle the multiple criteria with
the help of evaluation matrix generated from membership function and weight
matrix generated by Analytical Hierarchy Process (AHP). The purpose of this research is to minimize the wash
time. By applying FSEM, we get
a wash time which is less than that wash time got from applying the Mamdani approach in FCS. An
example is given for illustration. For more reduction of wash time, statistical averaging
method is also used. To reduce the wash time, statistical averaging method can be used in Mamdani
approach also.