Uncertain decision information processing in warning systems under group decision making framework

Publication Type:
Thesis
Issue Date:
2011
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail01Front.pdf154.92 kB
Adobe PDF
Thumbnail02 Whole.pdf1.21 MB
Adobe PDF
Human factors affect the development and deployment of an effective peoplecentred warning system. The study of decision information processing in a complex and dynamic decision environment can be used to handle human factors efficiently. Taking note that group decision-making is an effective processing strategy when people make decisions in a complex and dynamic decision environment, this thesis studies four aspects of decision information processing within a group decisionmaking framework. The four processing aspects include 1) detecting decision information inconsistency; 2) integrating decision information; 3) predicting risk using decision information; and 4) measuring decision information similarity. Focusing on the above four processing aspects, the thesis: (1) Presents a rule-map technique and establishes a rule-map-based information inconsistency detection method for data inconsistency; presents a state-based domain knowledge representation technique and establishes a detection method for logical inconsistency based on this; (2) Presents an extended physical model as an information integration framework and establishes an information integration method based on this; (3) Presents a vector aggregation operator based on a complex fuzzy set framework and establishes an information prediction method for decision information with multiple periodic features; (4) Presents a graduate aggregation operator and establishes a measuring method for similarities among decision information. PHD Thesis, UTS v The thesis illustrates a decision support system prototype of decision information processing in group decision-making. Experiments indicate that the presented techniques and methods can effectively support dynamic decision information processing in a complex decision environment.
Please use this identifier to cite or link to this item: