Combining Uncertain Estimates

03/27/2013
by   Henry Hamburger, et al.
0

In a real expert system, one may have unreliable, unconfident, conflicting estimates of the value for a particular parameter. It is important for decision making that the information present in this aggregate somehow find its way into use. We cast the problem of representing and combining uncertain estimates as selection of two kinds of functions, one to determine an estimate, the other its uncertainty. The paper includes a long list of properties that such functions should satisfy, and it presents one method that satisfies them.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8

research
09/02/2019

Soft Triangles for Expert Aggregation

We consider the problem of eliciting expert assessments of an uncertain ...
research
09/09/2019

Fixes to the Ryden McNeil Ammonia Flux Model

We propose two simple fixes to the Ryden and McNeil ammonia flux model. ...
research
03/27/2013

A Framework for Comparing Uncertain Inference Systems to Probability

Several different uncertain inference systems (UISs) have been developed...
research
01/19/2023

Shapley Values with Uncertain Value Functions

We propose a novel definition of Shapley values with uncertain value fun...
research
04/19/2021

Generalized-TODIM Method for Multi-criteria Decision Making with Basic Uncertain Information and its Application

Due to the fact that basic uncertain information provides a simple form ...
research
03/27/2013

The Role of Calculi in Uncertain Inference Systems

Much of the controversy about methods for automated decision making has ...
research
11/08/2017

Estimating global species richness using symbolic data meta-analysis

Global species richness is a key biodiversity metric. Despite recent eff...

Please sign up or login with your details

Forgot password? Click here to reset