Modeling Different Advising Attitudes in a Consensus Focused Process of Group Decision Making
The main goal of this paper is to support reaching a consensus type solution in a group decision making problem. In this context, we present a new model which assists the support system which is strongly integrated with our consensus reaching model. It is based on a role of a moderator who helps agents (individuals), by rational argument, persuasion, etc. change their opinions and towards a higher agreement within the entire group. As in our previous works, the consensus degree determines the agreement among most of (important) agents as to most of (relevant) options. Information about the current state of agreement and the main obstacles in reaching consensus are provided in a human consistent, hence easy to use form, by linguistic data summaries that can be derived, for instance, via natural language generation (NLG). In this paper, we extend the consensus evaluation and reaching model by carrying out various consensus reaching scenarios depending on a context of the process and considering different natures of a group of agents involved. Though not each discussion requires the involvement of each member, which may be time consuming, it may often be necessary to avoid the accounting for group member’s interests or emotional needs of agents. Therefore, to cope with these types of scenarios, we propose here an efficiently focused use of additional linguistic consensus indicators to provide the moderator with appropriate mechanisms for guiding the decision makers towards a higher degree of consensus. Finally, we present an illustrative implementation and numerical evaluation of various attitudes of the moderator’s actions in the model proposed.
Keywordsconsensus consensus reaching process group decision making linguistic data summary moderator discussion rule of influence
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