Title: A fuzzy-based system for assessment of emotional trust: a comparison study of two implemented models

Authors: Shunya Higashi; Phudit Ampririt; Ermioni Qafzezi; Makoto Ikeda; Keita Matsuo; Leonard Barolli

Addresses: Graduate School of Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan ' Graduate School of Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan ' Department of Information and Communication Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan ' Department of Information and Communication Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan ' Department of Information and Communication Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan ' Department of Information and Communication Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, Japan

Abstract: In recent years, the human-to-human and human-to-things relationships have become increasingly complicated and unreliable, which makes difficult the decision in different applications and situations. As a result, trust computing is gaining interest in a number of research fields. The emotional trust is one of the trust concepts. In this paper, we implemented a system called Fuzzy-based System for Assessment of Emotional Trust (FSAET). We implement two models: FSAETM1 and FSAETM2. The FSAETM1 considers three input parameters: Expectation (Ex), Willingness (Wi), Attitude (At) and the output parameter is Emotional Trust (ET). In FSAETM2, we consider Propensity (Pr) as a new parameter. The simulation results show that the FSAETM2 is more complex than FSAETM1 but performs better ET since four parameters are considered.

Keywords: trust computing; fuzzy logic; emotional trust; intelligent systems.

DOI: 10.1504/IJGUC.2025.145172

International Journal of Grid and Utility Computing, 2025 Vol.16 No.2, pp.83 - 93

Received: 02 Aug 2023
Accepted: 12 Sep 2023
Published online: 24 Mar 2025 *

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