@misc{10481/74974,
year = {2020},
url = {http://hdl.handle.net/10481/74974},
abstract = {This article presents a theoretical framework for a
dynamic feedback mechanism in group decision making (GDM)
by the implementation of an attitudinal consensus threshold
(ACT) to generate recommendation advice for the identified
inconsistent experts with the aim to increase consensus. The
novelty of the approach resides in its ability to implement the
ACT continuously, which allows the covering of all possible
consensus states of the group from its minimum to maximum
consensus degrees. Therefore, it can be flexibly applied to GDM
problems with different consistency requirements. A sensitivity
analysis method with visual simulation is proposed to support
the checking of the numbers of experts involved in the feedback
process and the minimum adjustment cost associated with the
different ACT intervals. Experimental results show that an
increase in the ACT value will lead to an increase in the number
of experts and adjustment cost involved in the feedback process.
Eventually, a numerical example is included to simulate the
feedback process under various decision making scenarios with
different ACT intervals.},
organization = {National Natural Science Foundation of China (NSFC)	71971135	
71571166	
72071056	
71910107002},
organization = {Innovative Talent Training Project of Graduate Students in Shanghai Maritime University of China	2019YBR017},
organization = {Spanish Government	PID2019-103880RB-I00/AEI/10.13039/501100011033},
publisher = {IEEE},
keywords = {Group decision making},
keywords = {Dynamic feedback mechanism},
keywords = {Attitudinal consensus threshold},
title = {A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making},
author = {Sun, Qi and Chiclana Parrilla, Francisco and Fujita, Hamido and Herrera Viedma, Enrique},
}