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001469597 001__ 1469597
001469597 003__ OCoLC
001469597 005__ 20230803003338.0
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001469597 008__ 230613s2023\\\\si\a\\\\o\\\\\100\0\eng\d
001469597 019__ $$a1382385057
001469597 020__ $$a9789811997419$$q(electronic bk.)
001469597 020__ $$a9811997411$$q(electronic bk.)
001469597 020__ $$z9811997403
001469597 020__ $$z9789811997402
001469597 0247_ $$a10.1007/978-981-19-9741-9$$2doi
001469597 035__ $$aSP(OCoLC)1382331317
001469597 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF
001469597 049__ $$aISEA
001469597 050_4 $$aHE11
001469597 08204 $$a388$$223/eng/20230613
001469597 1112_ $$aInternational Forum on Decision Sciences$$n(10th :$$d2022 :$$cHarbin, China).
001469597 24510 $$aProceedings of the Tenth International Forum of Decision Sciences /$$cXiang Li, Xiaofeng Xu, editors.
001469597 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001469597 264_4 $$c©2023
001469597 300__ $$a1 online resource (vii, 621 pages) :$$billustrations (some color).
001469597 336__ $$atext$$btxt$$2rdacontent
001469597 337__ $$acomputer$$bc$$2rdamedia
001469597 338__ $$aonline resource$$bcr$$2rdacarrier
001469597 4901_ $$aUncertainty and operations research
001469597 500__ $$aInternational conference proceedings.
001469597 5050_ $$aIntro -- Contents -- Project Risk Management for Real Estate Companies Under the New Policy -- 1 Introduction -- 2 Review of Relevant Research Literature -- 3 Construction of HHM-DEMATEL-ISM Project Risk Identification Model -- 3.1 Identifying Real Estate Project Risks Under New Policies Using HHM Methodology -- 3.2 Determining the Impact Relationship Between Risks Using the DEMATEL Method -- 3.3 Representation of the Relationship and Hierarchy Among Risks Using the ISM Model -- 4 Case Studies -- 5 Conclusions and Recommendations -- 5.1 Conclusions -- 5.2 Suggestions for Countermeasures
001469597 5058_ $$aResearch on Online Decision-Making Method for Oil Wells Shutting Down or Resetting Based on Dynamic Data-Driven -- 1 Introduction -- 2 Construction of Dynamic Data-Driven Application System -- 2.1 Construction of System Framework -- 2.2 LSTM Network Prediction Model -- 2.3 Online Decision Process -- 3 Example Analysis -- 3.1 Selection of Input Variables -- 3.2 Data Preprocessing -- 3.3 Prediction of Economic Benefits -- 3.4 Online Decision Making -- 4 Conclusion -- References -- Research on Risk Assessment of Natural Gas Supply in China Based on PSR -- 1 Introduction
001469597 5058_ $$a2 Risk Evaluation Index System of Natural Gas Supply in China -- 2.1 Evaluation Index System Model -- 2.2 Principles for Establishing Evaluation System and Index System -- 2.3 Selection of Evaluation Indicators -- 3 Risk Assessment of Natural Gas Supply in China -- 3.1 Evaluation and Analysis Ideas of Natural Gas Supply Risk in China -- 3.2 Sample Selection and Data Source -- 3.3 Evaluation Index Weighting -- 3.4 Evaluate the Risk of Natural Gas Supply in China -- 4 Countermeasures -- 4.1 Enhance LNG Reserve Capacity and Relieve China's Natural Gas Supply Pressure
001469597 5058_ $$a4.2 Develop Renewable Energy and Change the Current Situation of China's Energy Pattern -- 4.3 Strengthen Investment in Pipe Network Construction and Interconnection, and Actively Respond -- References -- Prediction of Comprehensive Pollution Index in Shandong Province Based on LSTM Neural Network -- 1 Introduction -- 2 Method -- 2.1 Recurrent Neural Network -- 2.2 Long and Short Term Memory Neural Network -- 3 Indicator Selection and Data Source -- 3.1 Data Sources and Indicators -- 3.2 Indicator Correlation Analysis -- 4 Model Construction and Empirical Analysis -- 4.1 Data Preprocessing
001469597 506__ $$aAccess limited to authorized users.
001469597 520__ $$aThis book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision making. In detail the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision making, data mining and knowledge management, operation and green supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and Industrial finance, big data and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of International Conference on Intelligent Transportation and Logistics with Big Data & International Forum on Decision Sciences, which took place in Harbin, Heilongjiang province, China, in 2022.
001469597 588__ $$aDescription based on print version record.
001469597 650_0 $$aTransportation$$xDecision making$$vCongresses.
001469597 650_0 $$aBusiness logistics$$xDecision making$$vCongresses.
001469597 655_0 $$aElectronic books.
001469597 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001469597 655_7 $$aConference papers and proceedings.$$2lcgft
001469597 7001_ $$aLi, Xiang,$$eeditor.
001469597 7001_ $$aXu, Xiaofeng,$$eeditor.
001469597 7112_ $$aConference on Intelligent Transportation and Logistics with Big Data$$d(2022 :$$cHarbin, China).
001469597 77608 $$iPrint version:$$tPROCEEDINGS OF THE TENTH INTERNATIONAL FORUM OF DECISION SCIENCES.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z9811997403$$w(OCoLC)1356570841
001469597 830_0 $$aUncertainty and operations research.
001469597 852__ $$bebk
001469597 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-9741-9$$zOnline Access$$91397441.1
001469597 909CO $$ooai:library.usi.edu:1469597$$pGLOBAL_SET
001469597 980__ $$aBIB
001469597 980__ $$aEBOOK
001469597 982__ $$aEbook
001469597 983__ $$aOnline
001469597 994__ $$a92$$bISE