An attitude-driven web consensus support system for heterogeneous group decision making

Consensus reaching processes are applied in group decision making problems to reach a mutual agreement among a group of decision makers before making a common decision. Different consensus models have been developed to facilitate consensus reaching processes. However, new trends bring diverse challe...

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Bibliographic Details
Published in:Expert systems with applications 2013-01, Vol.40 (1), p.139-149
Main Authors: Palomares, Iván, Rodríguez, Rosa M., Martínez, Luis
Format: Article
Language:English
Subjects:
Agglomeration
Applied sciences
Attitude
Automation
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Consensus reaching
Consensus support system
Data processing. List processing. Character string processing
Dealing
Decision making
Decision theory. Utility theory
Exact sciences and technology
Expert systems
Firm modelling
Group decision making
Heterogeneous information
Memory organisation. Data processing
Operational research and scientific management
Operational research. Management science
Operators
Software
Support systems
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Summary:Consensus reaching processes are applied in group decision making problems to reach a mutual agreement among a group of decision makers before making a common decision. Different consensus models have been developed to facilitate consensus reaching processes. However, new trends bring diverse challenges in group decision making, such as the modelling of different types of information and of large groups of decision makers, together with their attitude to achieve agreements. These challenges require the capacity to deal with heterogenous frameworks, and the automation of consensus reaching processes by means of consensus support systems. In this paper, we propose a consensus model in which decision makers can express their opinions by using different types of information, capable of dealing with large groups of decision makers. The model incorporates the management of the group’s attitude towards consensus by means of an extension of OWA aggregation operators aimed to optimize the overall consensus process. Eventually, a novel Web-based consensus support system that automates the proposed consensus model is presented.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2012.07.029