Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
387737 | Expert Systems with Applications | 2006 | 11 Pages |
Abstract
This paper proposes a fuzzy TOPSIS method based on alpha level sets and presents a nonlinear programming (NLP) solution procedure. The relationship between the fuzzy TOPSIS method and fuzzy weighted average (FWA) is also discussed. Three numerical examples including an application to bridge risk assessment are investigated using the proposed fuzzy TOPSIS method to illustrate its applications and the differences from the other procedures. It is shown that the proposed fuzzy TOPSIS method performs better than the other fuzzy versions of the TOPSIS method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ying-Ming Wang, Taha M.S. Elhag,