Journal
APPLIED SOFT COMPUTING
Volume 35, Issue -, Pages 827-839Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2015.02.023
Keywords
Social network; Multiple criteria group decision making; Trust propagation; Trust aggregation; Visual feedback; Incomplete linguistic information
Categories
Funding
- National Natural Science Foundation of China (NSFC) [71101131, 71331002]
- Spanish research projects [TIN2010-17876, TIN2013-40658-P, TIC-05299, TIC-5991]
- University of Granada 'Strengthening through Short-Visits' programme [GENIL-SSV 2014]
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A theoretical framework to consensus building within a networked social group is put forward. This article investigates a trust based estimation and aggregation methods as part of a visual consensus model for multiple criteria group decision making with incomplete linguistic information. A novel trust propagation method is proposed to derive trust relationship from an incomplete connected trust network and the trust score induced order weighted averaging operator is presented to aggregate the orthopairs of trust/distrust values obtained from different trust paths. Then, the concept of relative trust score is defined, whose use is twofold: (1) to estimate the unknown preference values and (2) as a reliable source to determine experts' weights. A visual feedback process is developed to provide experts with graphical representations of their consensus status within the group as well as to identify the alternatives and preference values that should be reconsidered for changing in the subsequent consensus round. The feedback process also includes a recommendation mechanism to provide advice to those experts that are identified as contributing less to consensus on how to change their identified preference values. It is proved that the implementation of the visual feedback mechanism guarantees the convergence of the consensus reaching process. (C) 2015 Elsevier B.V. All rights reserved.
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