By Topic

Qualitative reasoning about approximations in quantitative modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Raghunathan, S. ; Dept. of Accounting & Manage. Inf. Syst., Bowling Green State Univ., OH, USA

Quantitative models are frequently used to analyze physical systems. A central problem in using quantitative models to reason about physical systems is that the complexity of the reasoning process increases drastically with the size and complexity of the model. Human modelers solve this complexity problem by introducing simplifying approximations. The resultant changes in the model tractability and behavior influence a modeler's choice of approximations. This paper addresses the question of how the behavior of a quantitative model changes when approximations to the model are introduced. We present results that show that model behavior changes in many modeling contexts can be derived by analyzing the model structure, the approximation, and the query to be answered. Our experience with a prototype implementation suggests that the techniques can be useful in the design of modeling support systems

Published in:

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:27 ,  Issue: 5 )