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020 _a9783110743630
024 7 _a10.1515/9783110743630
_2doi
035 _a(DE-B1597)577507
035 _a(OCoLC)1348493364
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
072 7 _aTEC007000
_2bisacsh
082 0 4 _85p
_a658.403
_qDE-101
100 1 _aAnand, Adarsh,
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977128
245 1 0 _aMultiple Criteria Decision-Making Methods :
_bApplications for Managerial Discretion /
_cAdarsh Anand, Deepti Aggrawal, Mohini Agarwal.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2022]
264 4 _c©2022
300 _a1 online resource (XIV, 142 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aDe Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
_x2626-5427 ;
_v14
505 0 0 _tFrontmatter --
_tAcknowledgements --
_tPreface --
_tContents --
_tEditors' biography --
_tChapter 1 Introduction to multi-criteria decision-making process --
_tSection 1: Determination of criteria weights --
_tChapter 2 Determining weights using analytic hierarchy process (AHP) --
_tChapter 3 Weight determination using best-worst method --
_tChapter 4 CRITIC method for weight determination --
_tChapter 5 Entropy method for weight determination --
_tSection 2: Finding the ranking of alternatives --
_tChapter 6 Additive ratio assessment (ARAS) for best alternative selection --
_tChapter 7 Combinative distance-based assessment (CODAS) for decision-making --
_tChapter 8 Application of complex proportional assessment (COPRAS) for filtering --
_tChapter 9 Utilizing evaluation based on distance from average solution (EDAS) for decision-making --
_tChapter 10 Grey Relational Analysis (GRA) for optimal model selection --
_tChapter 11 Using multi-objective optimization based on ratio analysis for decision-making --
_tChapter 12 Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE-I and II) --
_tChapter 13 Preference Selection Index (PSI) for optimal alternative selection --
_tChapter 14 Utilizing simple additive weighting (SAW) method for managerial discretion --
_tChapter 15 Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for best model selection --
_tChapter 16 VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for optimal model selection --
_tSection 3: Some other useful MCDM techniques --
_tChapter 17 Analytic Network Process (ANP) method --
_tChapter 18 Selecting best alternative through Data Envelopment Analysis (DEA) method --
_tChapter 19 Decision-making trial and evaluation laboratory method --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThis book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023)
650 4 _aAngewandte Mathematik.
_964805
650 4 _aModellierung.
_977129
650 4 _aMultikriteria-Entscheidung.
_977130
650 7 _aTechnology & Engineering / Electrical.
_2bisacsh
_977131
653 _aApplied Mathemathics.
653 _aModelling.
653 _aMulticriteria-Decision.
700 1 _aAgarwal, Mohini,
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977132
700 1 _aAggrawal, Deepti,
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977133
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tDG Plus DeG Package 2022 Part 1
_z9783110766820
773 0 8 _iTitle is part of eBook package:
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_tEBOOK PACKAGE Engineering, Computer Sciences 2022
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856 4 0 _uhttps://doi.org/10.1515/9783110743630
856 4 0 _uhttps://www.degruyter.com/isbn/9783110743630
856 4 2 _3Cover
_uhttps://www.degruyter.com/document/cover/isbn/9783110743630/original
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