Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory

Joint Authors

Jianping, Chen
Jie, Xu
You, Gong
Li, Xu

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-12-19

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

The paper presents an optimization method for the ship hull principal dimensions scheme employing the fuzzy decision-making theory.

First of all, the paper establishes the fuzzy decision-making model of the ship hull principal dimensions optimization, and then a series of ship hull principal dimensions schemes are accordingly constructed by employing the variable value method.

On the basis of this, the fuzzy decision-making method is employed to evaluate the series ship hull principal dimensions schemes.

Finally, the optimal ship hull principal dimensions scheme is obtained.

The example demonstration verified the proposed method’s validity for ship hull principal dimensions optimization economic performance.

American Psychological Association (APA)

Jianping, Chen& Jie, Xu& You, Gong& Li, Xu. 2016. Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112294

Modern Language Association (MLA)

Jianping, Chen…[et al.]. Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112294

American Medical Association (AMA)

Jianping, Chen& Jie, Xu& You, Gong& Li, Xu. Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112294

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112294