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An introduction to fuzzy linear prog...

Kaur, Jagdeep.

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An introduction to fuzzy linear programming problems = theory, methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to fuzzy linear programming problems/ by Jagdeep Kaur, Amit Kumar.
其他題名:	theory, methods and applications /
作者:	Kaur, Jagdeep.
其他作者:	Kumar, Amit.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xv, 119 p. :ill., digital ;24 cm.
內容註:	State of the Art -- Non-Negative Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints -- Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints -- Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems With Equality Constraints Having LR Flat Fuzzy Numbers -- Unique Fuzzy Optimal Value of Fully Fuzzy Linear Programming Problems With Equality Constraints Having LR Flat Fuzzy Numbers -- Future Scope.
Contained By:	Springer eBooks
標題:	Fuzzy mathematics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-31274-3
ISBN:	9783319312743

An introduction to fuzzy linear programming problems = theory, methods and applications /
Kaur, Jagdeep.

An introduction to fuzzy linear programming problemstheory, methods and applications /[electronic resource] :by Jagdeep Kaur, Amit Kumar. - Cham :Springer International Publishing :2016. - xv, 119 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3401434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

State of the Art -- Non-Negative Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints -- Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints -- Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems With Equality Constraints Having LR Flat Fuzzy Numbers -- Unique Fuzzy Optimal Value of Fully Fuzzy Linear Programming Problems With Equality Constraints Having LR Flat Fuzzy Numbers -- Future Scope.

The 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 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 to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/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.

ISBN: 9783319312743

Standard No.: 10.1007/978-3-319-31274-3doiSubjects--Topical Terms:

582139
Fuzzy mathematics.

LC Class. No.: QA279.6

Dewey Class. No.: 511.313

An introduction to fuzzy linear programming problems = theory, methods and applications /
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520 $a The 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 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 to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/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.
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