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Related Concept Videos

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Related Experiment Videos

Self-organized service negotiation for collaborative decision making.

Bo Zhang1, Zhenhua Huang2, Ziming Zheng3

  • 1Department of Computer Science, Shanghai Normal University, Shanghai 201418, China.

Thescientificworldjournal
|September 23, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a self-organized service negotiation method for carbon dioxide capture and storage (CCS) to enable intelligent, automatic decision-making. The approach enhances CCS project efficiency through capacity evaluation, trust computation, and service provider selection.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Information Systems

Background:

  • Complex Decision-Making (CDM) requires efficient service negotiation.
  • Current methods lack intelligent and automatic negotiation capabilities.
  • Automating service selection is crucial for optimizing CDM processes.

Purpose of the Study:

  • To propose a self-organized service negotiation method for CDM.
  • To enable intelligent and automatic service selection for CDM sponsors.
  • To enhance the efficiency and effectiveness of CDM.

Main Methods:

  • Semantic-based capacity evaluation of the CDM sponsor.
  • Novel trust computation including subjective belief, objective reputation, and recommended trust values.
  • Negotiation mechanism for efficient service selection based on evaluation and trust.

Main Results:

  • The proposed method demonstrates feasibility and effectiveness in simulation experiments.
  • Successful self-organized service negotiation for CDM was achieved.
  • The method facilitates intelligent and automatic decision-making in CDM.

Conclusions:

  • The self-organized service negotiation method is a viable solution for CDM.
  • Intelligent automation of service selection improves CDM processes.
  • The approach enhances the overall performance of CDM.