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Books in Decision sciences

Our decision sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

1-10 of 143 results in All results

Handbook of the Economics of Conflict

  • 1st Edition
  • Volume 1
  • November 1, 2024
  • Massimo Morelli + 3 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 8 8 9 1 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 8 8 9 2 - 6
Handbook of the Economics of Conflict highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Conflict Initiation and the Coase Theorem, Misperceptions and the dynamics of conflict, Power Mismatch, Shocks and Conflict, On the Salience of Ethnic Conflict, Polarization and Conflict, Trade Policy in the Shadow of War: A Quantitative Toolkit for Geoeconomics, Conflict in History, Strategic militarization, Propaganda and Conflict, Climate and Conflict, and The Psychology of Conflict.

Multi-Criteria Decision-Making Analysis for Civil Engineering Applications

  • 1st Edition
  • October 1, 2024
  • Hossein Bonakdari + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 8 2 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 8 3 - 2
Multi-Criteria Decision-Making Analysis for Civil Engineering Applications helps civil engineers by outlining state-of-the-art tactics for quantitative decision-making to optimally select the appropriate approach when faced with operational issues, or to prioritize projects among multiple options. Authored by recognized experts in the field, the volume proves to be a balanced reference book that’s essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.Decision-making is a key factor to achieve success in any discipline, especially in a field which requires handling large amounts of information and is based on calculations as civil engineering. Most processes and procedures are a compendium of many different tasks and requirements of each project under development, also involving a great variety of specific factors and numerical values to be considered. Making decisions in such environments can often be an arduous endeavor, and that is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly.

Fuzzy Methods for Assessment and Decision Making

  • 1st Edition
  • October 1, 2024
  • Michael Gr. Voskoglou
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 3 - 1
Assessment is a very important component of human activities because it helps in determining possible mistakes and in improving performance by preventing the repeat of such mistakes in future. Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model is developed using the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets and soft sets as tools. The book starts with the basic mathematical background which is needed for the understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index. The necessary information follows regarding the learning and problem-solving processes, and the book then presents the hybrid assessment model. Dr. Voskoglou presents innovative fuzzy assessment methods, enabling the reader to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal. The fuzzy assessment methods presented in this book solve these problems. Further, the use of neutrosophic sets enables readers to obtain safer results when there are doubts about the accuracy of the grades assigned to students, while the use of soft sets enables a parametric assessment of the group's overall performance. Furthermore, the book presents a variety of applications of Fuzzy assessment as well as the principles and application of fuzzy decision making, which is fundamental for a wide variety of AI, machine learning, computational intelligence, and knowledge engineering applications.

Decision Support Systems for Sustainable Computing

  • 1st Edition
  • May 23, 2024
  • Muhammet Deveci
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 7 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 8 - 6
Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Handbook of the Economics of Education

  • 1st Edition
  • Volume 7
  • October 26, 2023
  • Stephen J. Machin + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 6 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 7 - 3
Handbook of the Economics of Education, Volume Seven describes the research frontier in key topical areas and sets the agenda for further work. Sections in this new release include Methods for Measuring School Effectiveness, Teacher Evaluation and Training, U.S. School Finance: Resources and Outcomes, College Costs, Financial Aid, and Student Decisions, Firm Training, Multidimensional Human Capital and the Wage Structure, and more. By bringing together some of the world’s leading scholars, this volume provides a unique view of scholarship in the area. The international perspectives of the editors – Hanushek at Stanford, Machin at LSE, and Woessmann at Munich – leads to a volume with something for all researchers. Topics range from the economics of early childhood education to inequality in society to cash transfers in developing countries.

Stampede Theory

  • 1st Edition
  • April 26, 2023
  • Philip Feldman
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 7 3 5 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 7 3 6 - 5
Stampede Theory: Human Nature, Technology, and Runaway Social Realities explores the biological, evolutionary and technological systems that drive troubling patterns of behavior among groups while also proposing actions to combat harm. The book discusses different ways that living beings coordinate and how the emergence of communication technologies has changed behaviors. As the problem of echo chambers and misinformation grows, it is crucial to understand underlying causes and provide solutions—this book does just that by pulling from multiple fields to produce a coherent story about how social realities are created and how they can create resilient communities or reinforce damaging beliefs. This interdisciplinary approach rests on three primary pillars: 1) How information systems affect the distribution of ideas, information, influence and belief; 2. Technology-mediated communication between individuals and groups, from stories pressed into clay tablets to “likes” on social media; 3) The sociology of behavioral bias in groups ranging from teams to nations. Because of its interdisciplinary foundations, the book includes chapters that address behavioral economics, cults, artificial intelligence, and the individual psychology of belief.  This will be a valuable resource for a range of readers, from political and social scientists to decision-makers in government and business, scientists in the fields of machine learning and AI, and more.

Handbook of the Economics of the Family

  • 1st Edition
  • March 23, 2023
  • Shelly Lundberg + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 9 9 6 5 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 9 9 6 6 - 6
Handbook of the Economics of the Family, Volume One includes comprehensive surveys of the current state of the economics literaure in the field, prepared by leading scholars, with a particular empahsis on the most recent developments in each area. Chapters cover Culture and the family; Mating markets; Household decisions and intra-household distributions; The economics of fertility: a new era; Families, labor markets, and policy; Family background, neighborhoods, and intergenerational mobility; The great transition: Kuznets facts for family-economists; An institutional perspective on the economics of the family.

Handbook of Mobility Data Mining, Volume 2

  • 1st Edition
  • January 27, 2023
  • Haoran Zhang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 4 2 4 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 4 2 5 - 3
Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.

Handbook of Mobility Data Mining, Volume 3

  • 1st Edition
  • January 26, 2023
  • Haoran Zhang
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 8 9 2 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 4 2 3 - 9
Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality. 

Handbook of Mobility Data Mining, Volume 1

  • 1st Edition
  • January 26, 2023
  • Haoran Zhang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 4 2 8 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 4 2 9 - 1
Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.