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020 _a9783662563397
_9978-3-662-56339-7
024 7 _a10.1007/978-3-662-56339-7
_2doi
050 4 _aQ342
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_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
100 1 _aLin, Shaopei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFuzzy-AI Model and Big Data Exploration
_h[electronic resource] :
_bA Methodological Philosophy in Solving Problems in Digital Era /
_cby Shaopei Lin.
250 _a1st ed. 2022.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2022.
300 _aXVII, 342 p. 104 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 _aIntroduction -- Fuzzy-AI Model -- Theoretical Adaptability of Fuzzy Approach -- Fuzzy Machine Learning Method -- Fuzzy Reasoning Method for Comprehensive Evaluation -- Fuzzy-AI Optimization for Complex System -- Fuzzy-AI Model for Decision Making -- Fuzzy-AI Model for Project Risk Management -- “Fuzz-AI” Model in Design -- “Fuzzy-AI” Model in System Reliability -- Conclusive Remarks.
520 _aBased on the idea of a universal rule for problem solving, the book suggests that the “System-Fuzzy Approach (SFA)” Model can be applied to various complex real-world problems. It is the first book for problem solving in complicated problems with a universal project management tool. Systematic searching is an essential step in identifying the right direction in problem solving; and the fuzzy steps in concrete problem solving reflect the flexibility and compromises involved in the process. Nevertheless, the fuzzy steps also demonstrate human beings’ impressively flexible problem-solving skills. Simulating human decision-making processes based on fuzzy information processing is essential in our digital era, in which many problems need to be solved by means of artificial intelligence; hence the Fuzzy-AI Model emerged. As a universal rule and tool, it can be applied to a broad range of real-world problems. Offering a valuable guide to fuzzy decision-making, this book is intended for researchers, scientists and graduate students in the fields of Engineering, Economics, Sociology, Managerial Science, Project Management etc.
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aTechnology
_xPhilosophy.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aPhilosophy of Technology.
650 2 4 _aIndustrial and Production Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662563373
776 0 8 _iPrinted edition:
_z9783662563380
856 4 0 _uhttps://doi.org/10.1007/978-3-662-56339-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c173629
_d173629