000 03364nam a22005535i 4500
001 978-3-319-31274-3
003 DE-He213
005 20200421112555.0
007 cr nn 008mamaa
008 160401s2016 gw | s |||| 0|eng d
020 _a9783319312743
_9978-3-319-31274-3
024 7 _a10.1007/978-3-319-31274-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aKaur, Jagdeep.
_eauthor.
245 1 3 _aAn Introduction to Fuzzy Linear Programming Problems
_h[electronic resource] :
_bTheory, Methods and Applications /
_cby Jagdeep Kaur, Amit Kumar.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXV, 119 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v340
505 0 _aState 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.
520 _aThe 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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aOperations research.
650 0 _aManagement science.
650 0 _aComputational intelligence.
650 0 _aEngineering economics.
650 0 _aEngineering economy.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aKumar, Amit.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319312736
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v340
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-31274-3
912 _aZDB-2-ENG
942 _cEBK
999 _c59114
_d59114