An Improvement for Fuzzy Stochastic Goal Programming Problems

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

Mathematical Problems in Engineering, 2017, vol. 2017, 1-9

Abstract:

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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8605652

DOI: 10.1155/2017/8605652

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