Ballad 发表于 2025-3-25 07:20:05
Future Scope,s. However, this method cannot be used to find the unique fuzzy optimal value of fully fuzzy linear programming problems with inequality constraints. In future, it may be tried to develop a method for the same.ONYM 发表于 2025-3-25 07:35:03
Book 2016ges/disadvantages. As the first work to collect at one place the most important methods for solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.boisterous 发表于 2025-3-25 14:50:50
Book 2016finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers. It presents new methods developed by the authors, as well as existing methods developed by others, and their application toTremor 发表于 2025-3-25 16:10:53
1434-9922 ith existing ones.Discusses applications to real-life probleThe book presents a snapshot of the state of the art in the field of fully fuzzy linear programming. The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all中国纪念碑 发表于 2025-3-25 23:01:51
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1434-9922 r solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.978-3-319-81003-4978-3-319-31274-3Series ISSN 1434-9922 Series E-ISSN 1860-0808澄清 发表于 2025-3-26 11:46:49
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Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constrains,s presented for solving fully fuzzy linear programming problems with equality constraints. To show the application of Kaur and Kumar’s method [.] a real life problem, which cannot be solved by using the method, presented in Chap. ., is solved by using the Kaur and Kumar’s method [.].