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An introduction to fuzzy linear programming problems[electronic resource] :theory, methods and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.313
書名/作者:	An introduction to fuzzy linear programming problems : theory, methods and applications // by Jagdeep Kaur, Amit Kumar.
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.
Contained By:	Springer eBooks
標題:	Fuzzy mathematics.
標題:	Linear programming.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Operations Research, Management Science.
標題:	Engineering Economics, Organization, Logistics, Marketing.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319312743
ISBN:	9783319312736
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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-31274-3

An introduction to fuzzy linear programming problems[electronic resource] :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:

469108
Fuzzy mathematics.

LC Class. No.: QA279.6

Dewey Class. No.: 511.313

An introduction to fuzzy linear programming problems[electronic resource] :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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