Guangquan Zhang's Books

Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

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Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

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Page Count

457

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642257550

ISBN 13

9783642257551

Multi-Level Decision Making

Models, Methods and Applications

By: Guangquan Zhang,Jie Lu,Ya Gao

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Multi-Level Decision Making

Models, Methods and Applications

By: Guangquan Zhang,Jie Lu,Ya Gao

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.

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Page Count

385

Publisher

Springer

Published Date

ISBN 10

3662460599

ISBN 13

9783662460597

Cognition-Driven Decision Support for Business Intelligence

Models, Techniques, Systems and Applications

By: Li Niu,Jie Lu,Guangquan Zhang

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Cognition-Driven Decision Support for Business Intelligence

Models, Techniques, Systems and Applications

By: Li Niu,Jie Lu,Guangquan Zhang

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed.

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240

Publisher

Springer

Published Date

ISBN 10

3642032087

ISBN 13

9783642032080

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

A Bayesian Approach

By: Robert P. Haining,Guangquan Li

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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

A Bayesian Approach

By: Robert P. Haining,Guangquan Li

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.

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Page Count

641

Publisher

CRC Press

Published Date

ISBN 10

1482237431

ISBN 13

9781482237436

Regression Modelling wih Spatial and Spatial-Temporal Data

A Bayesian Approach

By: Robert P. Haining,Guangquan Li

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Regression Modelling wih Spatial and Spatial-Temporal Data

A Bayesian Approach

By: Robert P. Haining,Guangquan Li

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Page Count

556

Publisher

CRC Press

Published Date

ISBN 10

0429529104

ISBN 13

9780429529108

Multi-Level Decision Making

Models, Methods and Applications

By: Guangquan Zhang,Jie Lu,Ya Gao

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Multi-Level Decision Making

Models, Methods and Applications

By: Guangquan Zhang,Jie Lu,Ya Gao

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Page Count

385

Publisher

Springer

Published Date

ISBN 10

3662460599

ISBN 13

9783662460597

Multi-objective Group Decision Making

Methods, Software and Applications with Fuzzy Set Techniques

By: Jie Lu,Da Ruan

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Multi-objective Group Decision Making

Methods, Software and Applications with Fuzzy Set Techniques

By: Jie Lu,Da Ruan

This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.

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Page Count

407

Publisher

Imperial College Press

Published Date

ISBN 10

1860948596

ISBN 13

9781860948596

Cognition-Driven Decision Support for Business Intelligence

Models, Techniques, Systems and Applications

By: Li Niu,Jie Lu,Guangquan Zhang

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Cognition-Driven Decision Support for Business Intelligence

Models, Techniques, Systems and Applications

By: Li Niu,Jie Lu,Guangquan Zhang

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240

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642032079

ISBN 13

9783642032073

Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

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Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

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454

Publisher

Springer

Published Date

ISBN 10

3662506661

ISBN 13

9783662506660

Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

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Handbook on Decision Making

Vol 2: Risk Management in Decision Making

By: Jie Lu,Lakhmi C Jain,Guangquan Zhang

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454

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Springer

Published Date

ISBN 10

3642257542

ISBN 13

9783642257544

Algorithms and Architectures for Parallel Processing

21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part I

By: Yongxuan Lai,Tian Wang,Min Jiang,Guangquan Xu,Wei Liang,Aniello Castiglione

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Algorithms and Architectures for Parallel Processing

21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part I

By: Yongxuan Lai,Tian Wang,Min Jiang,Guangquan Xu,Wei Liang,Aniello Castiglione

The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.

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835

Publisher

Springer Nature

Published Date

ISBN 10

303095384X

ISBN 13

9783030953843

Algorithms and Architectures for Parallel Processing

21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part III

By: Yongxuan Lai,Tian Wang,Min Jiang,Guangquan Xu,Wei Liang,Aniello Castiglione

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Algorithms and Architectures for Parallel Processing

21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part III

By: Yongxuan Lai,Tian Wang,Min Jiang,Guangquan Xu,Wei Liang,Aniello Castiglione

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Page Count

810

Publisher

Springer Nature

Published Date

ISBN 10

3030953912

ISBN 13

9783030953911

Book's by Guangquan Zhang

Handbook on Decision Making

Handbook on Decision Making

Multi-Level Decision Making

Multi-Level Decision Making

Cognition-Driven Decision Support for Business Intelligence

Cognition-Driven Decision Support for Business Intelligence

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

Regression Modelling wih Spatial and Spatial-Temporal Data

Regression Modelling wih Spatial and Spatial-Temporal Data

Multi-Level Decision Making

Multi-Level Decision Making

Multi-objective Group Decision Making

Multi-objective Group Decision Making

Cognition-Driven Decision Support for Business Intelligence

Cognition-Driven Decision Support for Business Intelligence

Handbook on Decision Making

Handbook on Decision Making

Handbook on Decision Making

Handbook on Decision Making

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing

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