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020 _a9789819953547
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024 7 _a10.1007/978-981-99-5354-7
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
245 1 0 _aComputational Intelligence for Modern Business Systems
_h[electronic resource] :
_bEmerging Applications and Strategies /
_cedited by Sandeep Kautish, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, Deepmala Singh.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXI, 522 p. 154 illus., 120 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aDisruptive Technologies and Digital Transformations for Society 5.0,
_x2730-907X
505 0 _aFoundations of Computational Intelligence -- Changing Paradigms of Computational Intelligence in Business Systems -- Computational Intelligence and Statistical Approaches -- Overview of Computational Approaches for Business -- Expert Systems and Knowledge Based Systems in Business.
520 _aThis book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.
650 0 _aTelecommunication.
650 0 _aArtificial intelligence.
_958441
650 0 _aData structures (Computer science).
_966708
650 0 _aInformation theory.
_957783
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aData Structures and Information Theory.
_966709
700 1 _aKautish, Sandeep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967000
700 1 _aChatterjee, Prasenjit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967001
700 1 _aPamucar, Dragan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967002
700 1 _aPradeep, N.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967003
700 1 _aSingh, Deepmala.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967004
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819953530
776 0 8 _iPrinted edition:
_z9789819953554
776 0 8 _iPrinted edition:
_z9789819953561
830 0 _aDisruptive Technologies and Digital Transformations for Society 5.0,
_x2730-907X
_967005
856 4 0 _uhttps://doi.org/10.1007/978-981-99-5354-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c56500
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