This technology allows for a mathematically sound technique for analyzing diverse data sets, limiting the amount of time required for consensus building, while improving the overall decision making process.

Summary

Finding a consensus within a distributed collaborative decision
making process, which contains a diverse set of data is difficult,
especially as most currently used systems cannot qualify their
findings by including very disparate data values, without
introducing bias. Whether it is numerical values, or opinions
gathered from participants, determining the best overall consensus
can be improved by the incorporation of a system that can take into
account the entire range of data available, improving decision
making, and limiting the time required for conflict resolution and
team consensus building. Technology developed at the University
of Nebraska addresses the issue of consensus building by applying
a mathematically sound, effective and trustworthy system to
evaluate imprecisely expressed or imprecisely measured
information from multiple sources. The system can be used where
group team members are geographically separated and/or have
diverse opinions and a sound consensus is needed. Even imprecise
polling data can be analyzed, leading to a better understanding of
public consensus on important social and economic issues. This
technology stands to improve the decision making for anyone that
relies upon the evaluation of a wide ranging collection of data.

Market Value
The generation of a consensus from a diverse set of data holds value
in areas from medical teams to the analysis of polling data that can
affect public policy. This technology allows for a mathematically
sound technique for analyzing diverse data sets, limiting the
amount of time required for consensus building, while improving
the overall decision making process.

Features and Benefits
• Computational Efficiency
• Handles complex, extremely conflicting data
• Incremental, non-monotonic computational process
• Deals well with diverse and imprecise measurements

Early Stage

TID 154

UNeMed currently offers a variety of licensing options and collaborative development opportunities with the
University of Nebraska Medical Center.