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001 9781003340621
003 FlBoTFG
005 20251030122238.0
006 m o d
007 cr |n|||||||||
008 231013s2023 xx o 0|| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000993950
_q(electronic bk.)
020 _a1000993957
_q(electronic bk.)
020 _a9781003340621
_q(electronic bk.)
020 _a1003340628
_q(electronic bk.)
020 _a9781000993967
_q(electronic bk. : EPUB)
020 _a1000993965
_q(electronic bk. : EPUB)
020 _z1032375272
020 _z9781032375274
024 7 _a10.1201/9781003340621
_2doi
035 _a(OCoLC)1402244396
035 _a(OCoLC-P)1402244396
050 4 _aQ325.5
072 7 _aCOM
_x094000
_2bisacsh
072 7 _aBUS
_x019000
_2bisacsh
072 7 _aCOM
_x005000
_2bisacsh
072 7 _aUY
_2bicssc
245 0 0 _aADVANCES IN COMPLEX DECISION MAKING
_h[electronic resource] :
_busing machine learning and tools for service-oriented computing /
_cedited by Walayat Hussain, Honghao Gao, Fethi Rabhi and Luis Martínez.
260 _a[S.l.] :
_bCHAPMAN & HALL CRC,
_c2023.
300 _a1 online resource
520 _aThe rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms. For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
588 _aOCLC-licensed vendor bibliographic record.
650 7 _aBUSINESS & ECONOMICS / Decision-Making & Problem Solving
_2bisacsh
_993384
650 7 _aCOMPUTERS / Enterprise Applications
_2bisacsh
_993750
650 0 _aMachine learning.
_955059
650 0 _aDecision making
_xData processing.
_993751
650 0 _aService-oriented architecture (Computer science)
_993752
700 1 _aHussain, Walayat,
_eeditor.
_993753
700 1 _aGao, Honghao,
_eeditor.
700 1 _aRabhi, Fethi,
_eeditor.
_993754
700 1 _aMartínez, Luis,
_d1970-
_eeditor.
_993755
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003340621
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c67623
_d67623