000 03650nam a22005415i 4500
001 978-3-030-41732-1
003 DE-He213
005 20240423125032.0
007 cr nn 008mamaa
008 200423s2020 sz | s |||| 0|eng d
020 _a9783030417321
_9978-3-030-41732-1
024 7 _a10.1007/978-3-030-41732-1
_2doi
050 4 _aHD30.19-.29
072 7 _aUF
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUXJ
_2thema
082 0 4 _a005.3
_223
100 1 _aWallace, Mark.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBuilding Decision Support Systems
_h[electronic resource] :
_busing MiniZinc /
_cby Mark Wallace.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVI, 224 p. 65 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aMotivation for IDS -- Modelling and Choices -- Examples of Industrial Decisions -- Problem Modelling in MiniZinc -- Algorithms and Complexity -- Constraint Classes -- Constraint Classes and Solvers -- Constraint Classes in MiniZinc -- Integrating Solvers with Search -- Search Control in MiniZinc -- Uncertainty -- IDSS for optimisation - the future.
520 _aThis book introduces readers to the principles of intelligent decision support systems (IDSS) and how to build them with MiniZinc, a free, open-source constraint programming language. Managing an IDSS project requires an understanding of the system’s design and behaviour. The book enables readers to appreciate what “combinatorial” optimisation problems are, and how modelling a problem provides the basis for solving it. It also presents the main algorithms for tackling decision support problems, discusses their strengths and weaknesses, and explores ways of achieving the necessary scalability when problems become big. Moreover, to support the learning process it allows readers to try out the ideas described in the text on model applications and puzzles. The book highlights the potential benefits of deploying an IDSS. It enables users to recognise the key risks involved and identify which techniques can be applied to minimise them, and to understand the decision support technology sufficiently in order to manage or monitor an IDSS project. It also helps readers distinguish between good sense and mere jargon when dealing with anyone involved in an IDSS project, from sales personnel to software implementers. As such it especially appeals to graduate students and advanced professionals who need to learn how to build an IDSS and to tackle the problems on the way.
650 0 _aInformation technology
_xManagement.
650 0 _aOperations research.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 0 _aComputer programming.
650 1 4 _aComputer Application in Administrative Data Processing.
650 2 4 _aOperations Research and Decision Theory.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aProgramming Techniques.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030417314
776 0 8 _iPrinted edition:
_z9783030417338
856 4 0 _uhttps://doi.org/10.1007/978-3-030-41732-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c173491
_d173491