Title: Solving moderated mediation model using interval data on fuzzy elevation

Authors: A. Akilbasha; R. Vanitha; D. Kalpanapriya

Addresses: School of Mathematics and Statistics, Dr. Vishwanath Karad MIT World Peace University, Pune-411 038, Maharashtra, India ' Department of Mathematics, School of Advanced Sciences, VIT, Vellore – 632 014, India ' Department of Mathematics, School of Advanced Sciences, VIT, Vellore – 632 014, India

Abstract: A variable that grounds mediation between dependent and independent variables. These mediator variables take vital parts in the analysis of data which entails numerous variables, exclusively when the dependent and independent variables are affected by other variables. Thus, mediation analysis requires all areas which need regression analysis, especially in psychology, industry, teaching, production area, etc. Mediation has been projected in multiple studies. On the other hand, at times it is more logical to articulate the fuzzy theory data when the variables are not purely distinct. Normally, to articulate the attitude of a persona 'bad', 'moderate', 'good' use fuzzy numbers than using crisp numbers. This paper explains the model of fuzzy moderated mediation using interval data. Also, to find the total, direct and indirect effects psychological data have been applied when the mediator, moderator, and confounding variable subsist.

Keywords: mediation; moderation; moderated mediation; fuzzy mediation; interval data.

DOI: 10.1504/IJMEI.2025.143280

International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.1, pp.44 - 53

Received: 07 Jun 2022
Accepted: 22 Jul 2022
Published online: 12 Dec 2024 *

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