IEEE Access (Jan 2021)

Multi-Dimensional Trust Quantification by Artificial Agents Through Evidential Fuzzy Multi-Criteria Decision Making

  • Sang-Woong Lee,
  • Sadaf Hussain,
  • Ghassan F. Issa,
  • Sagheer Abbas,
  • Taher M. Ghazal,
  • Tanweer Sohail,
  • Munir Ahmad,
  • Muhammad Adnan Khan

DOI
https://doi.org/10.1109/ACCESS.2021.3131521
Journal volume & issue
Vol. 9
pp. 159399 – 159412

Abstract

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Increasing man-machine trust has burgeoned during the last few decades. The growing interest in trust-building has led to the study of the non-dichotomous nature of trust. Trust as social behavior is an integral part of effective team building. The major focus has been offered to study how humans build trust towards machines, whereas few attempts have been made to study the reverse. Studies have shown that trustworthiness perceptions initialize trust behavior whereas trust behavior influences subsequent trustworthiness perceptions. This paper presents the design and comparative analysis of evidential fuzzy multi-criteria decision-making (EFMCDM) based on multi-dimensional trust quantification schemes to quantify trust level with the human agent in a collaborative environment.

Keywords