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Author: ZHAO Yu-xin
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 7
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Book Description
To slove the problem in the transformation of basic probability assignment to decision-making probability, this paper proposed a novel transformation method based on correlation degree. The correlation degree between basic probability assignment of singleton proposition and decision-making probability was used to evaluate the transformation method, and the decision-making probability of each proposition was achieved by linear combination, which was the transformation method of decision-making probability based on proportional belief and proportional plausibility. The proposed method was compared to the other usual methods with an example. The experimental result shows that the proposed method is more reasonable and effective.
Author: ZHAO Yu-xin
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 7
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Book Description
To slove the problem in the transformation of basic probability assignment to decision-making probability, this paper proposed a novel transformation method based on correlation degree. The correlation degree between basic probability assignment of singleton proposition and decision-making probability was used to evaluate the transformation method, and the decision-making probability of each proposition was achieved by linear combination, which was the transformation method of decision-making probability based on proportional belief and proportional plausibility. The proposed method was compared to the other usual methods with an example. The experimental result shows that the proposed method is more reasonable and effective.
Author: Bing-Yuan Cao
Publisher: Springer Nature
ISBN: 9819728916
Category :
Languages : en
Pages : 450
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Book Description
Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
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Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Author: Yansui Liu
Publisher: Springer Nature
ISBN: 9811648352
Category : Social Science
Languages : en
Pages : 405
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Book Description
This book attempts to introduce the theory of system science and engineering technology into the geographic research of urban-rural transformation, reveals the level-structure-function of urban-rural transformation, and promotes the scientific research on urban-rural transformation. Focusing on the systematic diagnosis of new-type urbanization, urban-rural land use, industrial structure transformation and public facilities allocation, this book explores the long-term mechanism, innovative model, and scientific way of urban-rural land optimal allocation and spatial reconstruction and develops urban-rural transformation geography. In terms of the contents, the book constructs the theory and method system of urban-rural transformation geography, analyzes the process, pattern, mechanism, and response of urban-rural transformation, reveals the evolution characteristics, types, and regional differences of urban-rural regional system, and finally puts forward the optimal decision-making of urban-rural transformation. This book not only provides references for graduate and researchers in geography, regional development, urban and rural planning, resource science, environmental science, human-earth system science, sustainability science, and other related fields but also guides the decision-making of planners and government officials.
Author: Xue-Bo Jin
Publisher: MDPI
ISBN: 3038429333
Category : Technology & Engineering
Languages : en
Pages : 569
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Book Description
This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors
Author: Alexander Holmes
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1801
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Book Description
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Jie Lu
Publisher: Springer Science & Business Media
ISBN: 3642257550
Category : Technology & Engineering
Languages : en
Pages : 457
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Book Description
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.
Author: Zhan Su
Publisher: Springer Nature
ISBN: 9819731402
Category :
Languages : en
Pages : 155
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Book Description
Author: William J. Sutherland
Publisher: Open Book Publishers
ISBN: 1800648596
Category : Nature
Languages : en
Pages : 351
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Book Description
There are severe problems with the decision-making processes currently widely used, leading to ineffective use of evidence, faulty decisions, wasting of resources and the erosion of public and political support. In this book an international team of experts provide solutions. The transformation suggested includes rethinking how evidence is assessed, combined, communicated and used in decision-making; using effective methods when asking experts to make judgements (i.e. avoiding just asking an expert or a group of experts!); using a structured process for making decisions that incorporate the evidence and having effective processes for learning from actions. In each case, the specific problem with decision making is described with a range of practical solutions. Adopting this approach to decision-making requires societal change so detailed suggestions are made for transforming organisations, governments, businesses, funders and philanthropists. The practical suggestions include twelve downloadable checklists. The vision of the authors is to transform conservation so it is more effective, more cost-efficient, learns from practice and is more attractive to funders. However, the lessons of this important book go well beyond conservation to decision-makers in any field.
Author: Marina L. Gavrilova
Publisher: Springer Science & Business Media
ISBN: 354087562X
Category : Computers
Languages : en
Pages : 256
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Book Description
The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. Transactions on Computational Science II is devoted to the subject of denotational mathematics for computational intelligence. Denotational mathematics, as a counterpart of conventional analytic mathematics, is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, granules, and systems. This volume includes 12 papers covering the following four important areas: foundations and applications of denotational mathematics; rough and fuzzy set theories; granular computing; and knowledge and information modeling.
