Abstract
The description and the optimization of structures containing fuzzy information has been presented. A method of solving fuzzy optimization problems using ordinary nonlinear programming techniques was presented along with a numerical example. The procedures outlined are expected to be useful in situations where doubt arises concerning exactness of concepts, correctness of statements and judgements, degrees of credibility, etc. , which are essential for the definition of a crisp design optimization problem. The possible applications of fuzzy set theory in the analysis of structural failures and the development of expert systems for structural design are also indicated.
| Original language | English |
|---|---|
| Pages (from-to) | 1633-1636 |
| Number of pages | 4 |
| Journal | AIAA Journal |
| Volume | 25 |
| Issue number | 12 |
| State | Published - Dec 1 1987 |
| Externally published | Yes |
Fingerprint
ASJC Scopus subject areas
- Aerospace Engineering
Cite this
OPTIMUM DESIGN OF STRUCTURES IN A FUZZY ENVIRONMENT. / Rao, Singiresu S.
In: AIAA Journal, Vol. 25, No. 12, 01.12.1987, p. 1633-1636.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - OPTIMUM DESIGN OF STRUCTURES IN A FUZZY ENVIRONMENT.
AU - Rao, Singiresu S
PY - 1987/12/1
Y1 - 1987/12/1
N2 - The description and the optimization of structures containing fuzzy information has been presented. A method of solving fuzzy optimization problems using ordinary nonlinear programming techniques was presented along with a numerical example. The procedures outlined are expected to be useful in situations where doubt arises concerning exactness of concepts, correctness of statements and judgements, degrees of credibility, etc. , which are essential for the definition of a crisp design optimization problem. The possible applications of fuzzy set theory in the analysis of structural failures and the development of expert systems for structural design are also indicated.
AB - The description and the optimization of structures containing fuzzy information has been presented. A method of solving fuzzy optimization problems using ordinary nonlinear programming techniques was presented along with a numerical example. The procedures outlined are expected to be useful in situations where doubt arises concerning exactness of concepts, correctness of statements and judgements, degrees of credibility, etc. , which are essential for the definition of a crisp design optimization problem. The possible applications of fuzzy set theory in the analysis of structural failures and the development of expert systems for structural design are also indicated.
UR - http://www.scopus.com/inward/record.url?scp=0023576409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0023576409&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0023576409
VL - 25
SP - 1633
EP - 1636
JO - AIAA Journal
JF - AIAA Journal
SN - 0001-1452
IS - 12
ER -