title: Self-organized service negotiation for collaborative decision making.
abstract: This paper proposes a self-organized service negotiation method for CDM in intelligent and automatic manners. It mainly includes three phases: semantic-based capacity evaluation for the CDM sponsor, trust computation of the CDM organization, and negotiation selection of the decision-making service provider (DMSP). In the first phase, the CDM sponsor produces the formal semantic description of the complex decision task for DMSP and computes the capacity evaluation values according to participator instructions from different DMSPs. In the second phase, a novel trust computation approach is presented to compute the subjective belief value, the objective reputation value, and the recommended trust value. And in the third phase, based on the capacity evaluation and trust computation, a negotiation mechanism is given to efficiently implement the service selection. The simulation experiment results show that our self-organized service negotiation method is feasible and effective for CDM.
authors.affiliation: Department of Computer Science, Shanghai Normal University, Shanghai 201418, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Zhang
authors.affiliation: Department of Computer Science, Tongji University, Shanghai 200092, China.
authors.forename: Zhenhua
authors.identifier: 0000-0002-1432-3789
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Department of Computer Science, Illinois Institute of Technology, Chicago, IL 60616, USA.
authors.forename: Ziming
authors.initials: Z
authors.lastname: Zheng
mesh_terms: D001185:Artificial Intelligence / Q000639:trends; D003299:Cooperative Behavior; D003657:Decision Making; D017008:Negotiating