author_facet Wu
Wu
author Wu
spellingShingle Wu
Mathematics
Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
General Mathematics
Engineering (miscellaneous)
Computer Science (miscellaneous)
author_sort wu
spelling Wu 2227-7390 MDPI AG General Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) http://dx.doi.org/10.3390/math7070569 <jats:p>The numerical method for solving the fuzzy linear programming problems with fuzzydecision variables is proposed in this paper. The difficulty for solving this kind of problem is thatthe decision variables are assumed to be nonnegative fuzzy numbers instead of nonnegative realnumbers. In other words, the decision variables are assumed to be membership functions. One of thepurposes of this paper is to derive the analytic formula of error estimation regarding the approximateoptimal solution. On the other hand, the existence of optimal solutions is also studied in this paper.Finally we present two numerical examples to demonstrate the usefulness of the numerical method.</jats:p> Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables Mathematics
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series Mathematics
source_id 49
title Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_unstemmed Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_full Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_fullStr Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_full_unstemmed Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_short Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_sort solving fuzzy linear programming problems with fuzzy decision variables
topic General Mathematics
Engineering (miscellaneous)
Computer Science (miscellaneous)
url http://dx.doi.org/10.3390/math7070569
publishDate 2019
physical 569
description <jats:p>The numerical method for solving the fuzzy linear programming problems with fuzzydecision variables is proposed in this paper. The difficulty for solving this kind of problem is thatthe decision variables are assumed to be nonnegative fuzzy numbers instead of nonnegative realnumbers. In other words, the decision variables are assumed to be membership functions. One of thepurposes of this paper is to derive the analytic formula of error estimation regarding the approximateoptimal solution. On the other hand, the existence of optimal solutions is also studied in this paper.Finally we present two numerical examples to demonstrate the usefulness of the numerical method.</jats:p>
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author Wu
author_facet Wu, Wu
author_sort wu
container_issue 7
container_start_page 0
container_title Mathematics
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description <jats:p>The numerical method for solving the fuzzy linear programming problems with fuzzydecision variables is proposed in this paper. The difficulty for solving this kind of problem is thatthe decision variables are assumed to be nonnegative fuzzy numbers instead of nonnegative realnumbers. In other words, the decision variables are assumed to be membership functions. One of thepurposes of this paper is to derive the analytic formula of error estimation regarding the approximateoptimal solution. On the other hand, the existence of optimal solutions is also studied in this paper.Finally we present two numerical examples to demonstrate the usefulness of the numerical method.</jats:p>
doi_str_mv 10.3390/math7070569
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id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM5MC9tYXRoNzA3MDU2OQ
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recordtype ai
series Mathematics
source_id 49
spelling Wu 2227-7390 MDPI AG General Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) http://dx.doi.org/10.3390/math7070569 <jats:p>The numerical method for solving the fuzzy linear programming problems with fuzzydecision variables is proposed in this paper. The difficulty for solving this kind of problem is thatthe decision variables are assumed to be nonnegative fuzzy numbers instead of nonnegative realnumbers. In other words, the decision variables are assumed to be membership functions. One of thepurposes of this paper is to derive the analytic formula of error estimation regarding the approximateoptimal solution. On the other hand, the existence of optimal solutions is also studied in this paper.Finally we present two numerical examples to demonstrate the usefulness of the numerical method.</jats:p> Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables Mathematics
spellingShingle Wu, Mathematics, Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables, General Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous)
title Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_full Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_fullStr Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_full_unstemmed Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_short Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
title_sort solving fuzzy linear programming problems with fuzzy decision variables
title_unstemmed Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
topic General Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous)
url http://dx.doi.org/10.3390/math7070569