Towards a Reliable Framework of Uncertainty-Based Group Decision Support System
Junyi Chai, James N.K. Liu

TL;DR
This paper introduces a comprehensive framework for Uncertainty-based Group Decision Support Systems (UGDSS) that integrates AI technologies to enhance decision-making across multiple criteria and group dynamics.
Contribution
It presents a novel multi-agent architecture for UGDSS, addressing key aspects like decision environment, conflict, and negotiation, advancing decision support technology.
Findings
Framework supports complex decision analysis
Integrates multiple AI technologies
Enhances reliability of group decision processes
Abstract
This study proposes a framework of Uncertainty-based Group Decision Support System (UGDSS). It provides a platform for multiple criteria decision analysis in six aspects including (1) decision environment, (2) decision problem, (3) decision group, (4) decision conflict, (5) decision schemes and (6) group negotiation. Based on multiple artificial intelligent technologies, this framework provides reliable support for the comprehensive manipulation of applications and advanced decision approaches through the design of an integrated multi-agents architecture.
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