By Topic

A Systematic Fuzzy Decision-Making Process to Choose the Best Model Among a Set of Competing Models

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

2 Author(s)
Shakouri G, H. ; Dept. of Ind. Eng., Univ. of Tehran, Tehran, Iran ; Menhaj, M.B.

The assessment of a theory is the main objective of scientists. Theories are always introduced by models, and model selection is applied to many various fields of scientific studies in order to corroborate or verify the theory as the winning one among a set of competing hypotheses. Different criteria are taken as bases to select one model among several parallel models in both statistical and visual types. This paper proposes a new method in model selection based on the solutions of a fuzzy decision-making problem. The method enables us to apply systematically all desired validation criteria by defining a proper possibility distribution function (PDF) for each criterion. The generality of the method allows us to consider even intuitive, inaccurate, or linguistic criteria. Finally, the maximization of a utility function, rationally composed of the PDFs, will determine the best choice of competing models. The method is illustrated by two sets of linear and nonlinear parallel models.

Published in:

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:38 ,  Issue: 5 )