An Improvement for Fuzzy Stochastic Goal Programming Problems

Joint Authors

Julian, Peterson
Lin, Scott Shu-Cheng
Tuan, Han-Wen

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-07-25

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

We examined the solution process for linear programming problems under a fuzzy and random environment to transform fuzzy stochastic goal programming problems into standard linear programming problems.

A previous paper that revised the solution process with the lower-side attainment index motivated our work.

In this paper, we worked on a revision for both-side attainment index to amend its definition and theorems.

Two previous examples were used to examine and demonstrate our improvement over previous results.

Our findings not only improve the previous paper with both-side attainment index, but also provide a theoretical extension from lower-side attainment index to the both-side attainment index.

American Psychological Association (APA)

Lin, Scott Shu-Cheng& Tuan, Han-Wen& Julian, Peterson. 2017. An Improvement for Fuzzy Stochastic Goal Programming Problems. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192439

Modern Language Association (MLA)

Lin, Scott Shu-Cheng…[et al.]. An Improvement for Fuzzy Stochastic Goal Programming Problems. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1192439

American Medical Association (AMA)

Lin, Scott Shu-Cheng& Tuan, Han-Wen& Julian, Peterson. An Improvement for Fuzzy Stochastic Goal Programming Problems. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192439

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192439