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Title Application of Fuzzy Relation Equations to Assessment of Analogical Problem Solving Skills
 
Names Воскоглу, Майкл
Voskohlu, Maikl
Date Issued 2018 (iso8601)
Abstract Analogical reasoning is a very important part of the human cognition in general for creativity and scientific discovery and in particular it is a very useful method for solving mathematical problems by retrieving from the memory similar problems solved in the past and adapting their solutions for use with the target problem. On the other hand, the student assessment is an essential task of Education, because, apart of being a social need and demand, it helps the instructors in designing their future plans for a more effective teaching procedure. However, frequently an instructor is not sure about the exact grade corresponding to each student’s performance. Therefore, the student assessment is characterized by a degree of vagueness and/or uncertainty. Consequently, fuzzy logic, due to its property of characterizing the ambiguous real life situations with multiple values, becomes a reach resource of assessment techniques to be applied in such vague cases. In this work fuzzy relation equations are used as a tool for evaluating student analogical problem solving skills. The fuzzy relation equations are obtained by the composition of binary fuzzy relations, which are fuzzy sets defined on the Cartesian product of two crisp sets. The compositions of binary fuzzy relations are conveniently performed in terms of the membership matrices of them. The same elements of the membership matrices are used in these compositions as would be used in the regular multiplication of matrices, but the product and sum operations are here replaced with the min and max operations respectively. The notion of fuzzy relation equations was first proposed by Sanchez in 1976 and later was further investigated by other researchers. A classroom application and other suitable examples are also presented in this article illustrating our results. Further, the present work is connected to our earlier research efforts on utilizing several other fuzzy Logic techniques as tools for the assessment of the student performance.
Genre Article
Topic Fuzzy Sets (FS)
Identifier Voskoglou, M. Application of Fuzzy Relation Equations to Assessment of Analogical Problem Solving Skills [Текст] / M. Voskoglou // Фізико-математична освіта : науковий журнал / Міністерство освіти і науки України, Сумський державний педагогічний університет імені А. С. Макаренка, Фізико-математичний факультет ; редкол.: В. Ю. Сторіжко, З. Бак, М. П. Вовк [та ін.] ; гол. ред. О. В. Семеніхіна. – Суми : Вид-во СумДПУ імені А. С. Макаренка, 2018. – Вип. 1 (15). – С. 122–127.