000 03642nam a22005895i 4500
001 978-3-319-31274-3
003 DE-He213
005 20220801222539.0
007 cr nn 008mamaa
008 160401s2016 sz | 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 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aKaur, Jagdeep.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_962054
245 1 3 _aAn Introduction to Fuzzy Linear Programming Problems
_h[electronic resource] :
_bTheory, Methods and Applications /
_cby Jagdeep Kaur, Amit Kumar.
250 _a1st ed. 2016.
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,
_x1860-0808 ;
_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 _aComputational intelligence.
_97716
650 0 _aOperations research.
_912218
650 0 _aManagement science.
_98316
650 0 _aIndustrial Management.
_95847
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aOperations Research, Management Science .
_931720
650 2 4 _aIndustrial Management.
_95847
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKumar, Amit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_962055
710 2 _aSpringerLink (Online service)
_962056
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319312736
776 0 8 _iPrinted edition:
_z9783319312750
776 0 8 _iPrinted edition:
_z9783319810034
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v340
_962057
856 4 0 _uhttps://doi.org/10.1007/978-3-319-31274-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80888
_d80888