Towards a Reliable Framework of Uncertainty-Based Group Decision Support System
–arXiv.org Artificial Intelligence
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. I. INTRODUCTION Nowadays, since companies are usually working in a rapidly changing and uncertain business environment, more timely and accurate information are required for decision-making, in order to improve customer satisfaction, support profitable business analysis, and increase their competitive advantages. In addition to the use of data and mathematical models, some managerial decisions are qualitative in nature and need judgmental knowledge that resides in human experts. Thus, it is necessary to incorporate such knowledge in developing Decision Support System (DSS). A system that integrates knowledge from experts is called a Knowledge-based Decision Support System (KBDSS) or an Intelligent Decision Support System (IDSS) [1].
arXiv.org Artificial Intelligence
Jun-30-2011
- Country:
- North America > United States
- New York (0.05)
- South Carolina (0.04)
- California (0.04)
- Europe > Netherlands
- South Holland > Dordrecht (0.04)
- Asia
- North America > United States
- Genre:
- Research Report (1.00)
- Technology: