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Voskoglou, M.Gr., Salem, A.-B., Analogy-Based and Case-Based Reasoning: Two Sides of the Same Coin, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 4, 5-51, 2014.

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Article

Application of Soft Sets to Assessment Processes

1Department of Mathematical Sciences, Graduate Technological Educational Institute of Western Greece, Patras, Greece


American Journal of Applied Mathematics and Statistics. 2022, Vol. 10 No. 1, 1-3
DOI: 10.12691/ajams-10-1-1
Copyright © 2022 Science and Education Publishing

Cite this paper:
Michael Gr. Voskoglou. Application of Soft Sets to Assessment Processes. American Journal of Applied Mathematics and Statistics. 2022; 10(1):1-3. doi: 10.12691/ajams-10-1-1.

Correspondence to: Michael  Gr. Voskoglou, Department of Mathematical Sciences, Graduate Technological Educational Institute of Western Greece, Patras, Greece. Email: mvoskoglou@gmail.com

Abstract

From the time that Zadeh introduced the concept of fuzzy set in 1965 a lot of research has been carried out for generalizing and extending the corresponding theory on the purpose of tackling more effectively the existing in real life uncertainty. One such generalization is the concept of soft set aiming, among others, to overcome the existing difficulty of defining properly the membership function of a fuzzy set. A new model using soft sets is presented in this paper for assessing human-machine performance in a parametric manner and examples are given to illustrate its applicability in practice. Such kind of models are very useful when the assessment has qualitative rather than quantitative characteristics.

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