A comparison study of two implemented fuzzy-based models for decision of logical trust

Article type: Research Article

Authors: Higashi, Shunya^a | Ampririt, Phudit^a | Qafzezi, Ermioni^b | Ikeda, Makoto^b | Matsuo, Keita^b | Barolli, Leonard^{b; *}

Affiliations: [a] Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan | [b] Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan

Correspondence: [*] Corresponding author: Leonard Barolli. E-mail: mgm23108@bene.fit.ac.jp.

Abstract: In recent years, the human-to-human and human-to-things relationships are becoming complicated and unreliable, which makes harder decisions in a variety of situations. As a result, trust computing is gaining interest in a number of research fields. The Logical Trust (LT) is one of trust computing concepts. In this paper, we design a Fuzzy-based System for Decision of Logical Trust (FSDLT). We implement two models: FSDLTM1 and FSDLTM2. The FSDLTM1 considers three input parameters: Belief (Be), Experience (Ep), Rationality (Ra) and the output parameter is LT. In FSDLTM2, we consider Reliability (Re) as a new parameter. We evaluated the implemented models by computer simulations. The simulation results show that when Be, Ep, Ra and Re are increasing, the LT is increased. For FSDLTM1, when Ep value is 0.9, all LT values are greater than 0.5. While for FSDLTM2, in case when Be is 0.9, for all values of Ra and Re, when Ep is 0.5 and 0.9, all LT values are higher than 0.5. This shows that the person or device is trustworthy. The FSDLTM2 is more complex than FSALTM1 but it makes a better decision for LT by considering four input parameters.

Keywords: Trust computing, fuzzy logic, intelligent algorithms, decision making systems

DOI: 10.3233/JHS-230189

Journal: Journal of High Speed Networks, vol. 30, no. 2, pp. 279-295, 2024