Fuzzy number conjoint method to measure students' expectation on the learning of mathematics

• Published in: Journal of Physics: Conference Series
• Main Author: Osman R.; Ramli N.; Badaruddin Z.; Ayub H.; Karim S.N.A.S.A.
• Format: Conference paper
• Language: English
• Published: IOP Publishing Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104174338&doi=10.1088%2f1742-6596%2f1770%2f1%2f012056&partnerID=40&md5=3b16193b2a1147ec9efd43f591a05e3c

The issues related to students' expectation on the learning of mathematics is considered crucial because one can never decide the appropriate educational path that suits the students according to what they are supposed to study and should engage in the learning process. This study performed analysis on the secondary data of a previous research conducted on students' expectation on the learning of mathematics. Due to the vague and imprecise human judgment and preference, fuzzy approach is used in this study. The fuzzy conjoint method based on fuzzy set is being widely used to analyse human preference. However, the method cannot produce the weight of attribution in various degrees of confidence. The aim of this study is to improve fuzzy conjoint method based on trapezoidal fuzzy number and investigate the students' level of preferences on the learning of Mathematics and to compare the result with the secondary data. Hence, by incorporating fuzzy number in continuous form, it will enable the respondents to express their opinion in a more detailed interpretation. This study improvised the existing procedure by employing trapezoidal fuzzy number in representing the predefined linguistic terms and the aggregation of preference level of the respondents based on each criterion. The highest priorities of degree of agreement for students' expectation is lecturers should focus more on developing and understanding the concept of learning mathematics, followed by student-lecturer interaction and lecturers and lecturers should have sufficient time to complete all the syllabus. © 2021 Institute of Physics Publishing. All rights reserved.