Home // ICSNC 2019, The Fourteenth International Conference on Systems and Networks Communications // View article

Rating Convergence Measurement in Trust-based Multi-Stakeholder Consensus Decision-Making

Authors:
Lina Alfantoukh
Abdullah Alzeer

Keywords: Trust; Decision-Making; Multi-Stakeholder; Matrix perturbations.

Abstract:
In collective decision-making where several participants involved to agree on one selection, reaching the consensus among them is important but it is challenging when the participants have conflicting interests. Therefore, the influence that is based on the trust from one participant to another could be useful to make the others shift their interests to be similar to others. Shifting interest can be long term or short term depending on participants behaviors. In our decision-making framework, there are different rounds where participants interact by ratings. Each round creates a rating matrix. In this paper, we study the rating convergence by analyzing the rating matrix changes by measuring its perturbations in each round and find the effect of these changes on reaching the consensus when using a trust and without it. We built a simulation that generates several decision scenarios. Our result showed that the changes in the rating matrix under the trust improve reaching the consensus in term of decreasing the required number of round and increasing the consensus value. Moreover, our result showed that changing interest in a long term performs better than short term in term of number or rounds reduction.

Pages: 55 to 60

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-753-5

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019