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
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