The book focuses on applications of belief functions to business decisions. Section I introduces the intuitive, conceptual and historical development of belief functions. Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics. Section II presents applications of belief functions in information systems and auditing. Included are discussions on how a belief-function framework provides a more efficient and effective audit methodology and also the appropriateness of belief functions to represent uncertainties in audit evidence. The third section deals with applications of belief functions to mergers and acquisitions; financial analysis of engineering enterprises; forecast demand for mobile satellite services; modeling financial portfolios; and economics.

Writing is essential to learning. One cannot be educated and yet unable to communicate one's ideas in written form. But, learning to write can occur only through a process of cultivation requiring intellectual discipline. As with any set of complex skills, there are fundamentals of writing that must be internalized and then applied using one's thinking. This guide focuses on the most important of those fundamentals.

Gallhofer and Saris examine the collective choice processes in different decision-making units leading to World Wars I and II as well as the Cuban Missile Crisis, colonial wars, and to major foreign policy decisions of a European government after World War II. In the unit relating to the European government, they find strong evidence for consensual decision-making. But when disagreements occurred among the participants, alternative procedures were employed, such as postponements in order to search for additional information, shifts from argumentation to find a compromise, and change from consensus to majority decision-making. How quickly these shifts were made depended on the group norms.

This book provides a theoretical framework to understand how different foreign-policy decision-making units or groups arrive at a collective choice. The qualitative and quantitative studies presented here are based on written records and deal with the choice process of four different decision-making units in situations that pertain to important foreign policy decisions. Germany's decision-making process under Hitler to initiate World War II exemplifies a group with a leader who is insensitive to advice, making the decisions himself and using the group only for acclamation. Kennedy's decision-making during the Cuban Missile Crisis is very different, as it shows a leader sensitive to advice where the group has the task of presenting different options and their consequences. The Austro-Hungarian cabinet's decision to initiate World War I exemplifies a homogeneous group with a dissenter, although it arrived at a collective decision quite quickly using persuasion, compromise, and some coercion. The bulk of the study deals with a heterogeneous unit in a great variety of decision situations, because most Western European governments are of this type. Where there is extreme conflict and time pressure, consensual decision-making is abandoned and a majority choice is hammered out.

As the first systematic documented study of collective decision-making, as it pertains to different decision units, this book will be of considerable importance to scholars and researchers investigating the decision-making process in government and international affairs.

Although interest in Spatial Decision Support Systems (SDSS) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of SDSS along with the advanced design concepts required for building SDSS. Filling this need, Spatial Decision Support Systems: Principles and Practices provides a comprehensive examination of the various aspects of SDSS evolution, components, architecture, and implementation. It integrates research from a variety of disciplines, including the geosciences, to supply a complete overview of SDSS technologies and their application from an interdisciplinary perspective. This groundbreaking reference provides thorough coverage of the roots of SDSS. It explains the core principles of SDSS, how to use them in various decision making contexts, and how to design and develop them using readily available enabling technologies and commercial tools. The book consists of four major parts, each addressing different topic areas in SDSS: 1. Presents an introduction to SDSS and the evolution of SDSS 2. Covers the essential and optional components of SDSS 3. Focuses on the design and implementation of SDSS 4. Reviews SDSS applications from various domains and disciplines -- investigating current challenges and future directions The text includes numerous detailed case studies, example applications, and methods for tailoring SDSS to your work environment. It also integrates sample code segments throughout. Addressing the technical and organizational challenges that affect the success or failure of SDSS, the book concludes by considering future directions of this rapidly emerging field of study.

The book treats two approaches to decision theory: (1) the normative, purporting to determine how a 'perfectly rational' actor ought to choose among available alternatives; (2) the descriptive, based on observations of how people actually choose in real life and in laboratory experiments. The mathematical tools used in the normative approach range from elementary algebra to matrix and differential equations. Sections on different levels can be studied independently. Special emphasis is made on 'offshoots' of both theories to cognitive psychology, theoretical biology, and philosophy.

Although scientists have effectively employed the concepts of probability to address the complex problem of prediction, modern science still falls short in establishing true predictions with meaningful lead times of zero-probability major disasters. The recent earthquakes in Haiti, Chile, and China are tragic reminders of the critical need for improved methods of predicting natural disasters. Drawing on their vast practical experience and theoretical studies, Dr. Yi Lin and Professor Shoucheng OuYang examine some of the problems that exist in the modern system of science to provide the understanding required to improve our ability to forecast and prepare for such events.

Presenting a series of new understandings, theories, and a new system of methodology, Irregularities and Prediction of Major Disasters simplifies the world-class problem of prediction into a series of tasks that can be learned, mastered, and applied in the analysis and prediction of forthcoming changes in materials or fluids. These internationally respected authors introduce their novel method of digitization for dealing with irregular information, proven effective for predicting transitional changes in events. They also:

• Unveil a new methodology for forecasting zero-probability natural disasters
• Highlight the reasons for common forecasting failures
• Propose a method for resolving the mystery of nonlinearity
• Include numerous real-life case studies that illustrate how to properly digitize available information
• Supply proven methods for forecasting small-probability natural disasters

This authoritative resource provides a systematic discussion of the non-evolutionality of the modern system of science analyzing its capabilities and limitations. By touching on the need for change in some of the fundamentals in basic scientific theories and relevant methodologies, this book provides the scientific community with the understanding and methodology required to forecast zero-probability major disasters with greatly improved accuracy.

The quality of our lives is determined by the quality of our thinking. The quality of our thinking, in turn, is determined by the quality of our questions, for questions are the engine, the driving force behind thinking. Without questions, we have nothing to think about. Without essential questions, we often fail to focus our thinking on the significant and substantive. When we ask essential questions, we deal with what is necessary, relevant, and indispensable to a matter at hand. We recognize what is at the heart of the matter. Our thinking is grounded and disciplined. We are ready to learn. We are intellectually able to find our way about. To be successful in life, one needs to ask essential questions: essential questions when reading, writing, and speaking; when shopping, working, and parenting; when forming friendships, choosing life-partners, and interacting with the mass media and the Internet. Yet few people are masters of the art of asking essential questions. Most have never thought about why some questions are crucial and others peripheral. Essential questions are rarely studied in school. They are rarely modeled at home. Most people question according to their psychological associations. Their questions are haphazard and scattered. The ideas we provide are useful only to the extent that they are employed daily to ask essential questions. Practice in asking essential questions eventually leads to the habit of asking essential questions. But we can never practice asking essential questions if we have no conception of them. This mini-guide is a starting place for understanding concepts that, when applied, lead to essential questions. We introduce essential questions as indispensable intellectual tools. We focus on principles essential to formulating, analyzing, assessing, and settling primary questions. You will notice that our categories of question types are not exclusive. There is a great deal of overlap

The mental well-being of children and adults is shockingly poor. Marc Brackett, author of Permission to Feel, knows why. And he knows what we can do.

Marc Brackett is a professor in Yale University’s Child Study Center and founding director of the Yale Center for Emotional Intelligence. In his 25 years as an emotion scientist, he has developed a remarkably effective plan to improve the lives of children and adults – a blueprint for understanding our emotions and using them wisely so that they help, rather than hinder, our success and well-being. The core of his approach is a legacy from his childhood, from an astute uncle who gave him permission to feel. He was the first adult who managed to see Marc, listen to him, and recognize the suffering, bullying, and abuse he’d endured. And that was the beginning of Marc’s awareness that what he was going through was temporary. He wasn’t alone, he wasn’t stuck on a timeline, and he wasn’t “wrong” to feel scared, isolated, and angry. Now, best of all, he could do something about it.

In the decades since, Marc has led large research teams and raised tens of millions of dollars to investigate the roots of emotional well-being. His prescription for healthy children (and their parents, teachers, and schools) is a system called RULER, a high-impact and fast-effect approach to understanding and mastering emotions that has already transformed the thousands of schools that have adopted it. RULER has been proven to reduce stress and burnout, improve school climate, and enhance academic achievement. This book is the culmination of Marc’s development of RULER and his way to share the strategies and skills with readers around the world. It is tested, and it works.

This book combines rigor, science, passion and inspiration in equal parts. Too many children and adults are suffering; they are ashamed of their feelings and emotionally unskilled, but they don’t have to be. Marc Brackett’s life mission is to reverse this course, and this book can show you how.

Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are cold. His existence was paradoxical to classical physics and only the realization that information too was a source of power led to his taming. Information has recently become a commodity, traded and sold like or ange juice or hog bellies. Colleges give degrees in information science and information management. Technology of the computer age has provided access to information in overwhelming quantity. Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory. The volume is organized as follows."

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

Scheduling and multicriteria optimisation theory have been subject, separately, to numerous studies. Since the last twenty years, multicriteria scheduling problems have been subject to a growing interest. However, a gap between multicriteria scheduling approaches and multicriteria optimisation field exits. This book is an attempt to collect the elementary of multicriteria optimisation theory and the basic models and algorithms of multicriteria scheduling. It is composed of numerous illustrations, algorithms and examples which may help the reader in understanding the presented concepts. This book covers general concepts such as Pareto optimality, complexity theory, and general method for multicriteria optimisation, as well as dedicated scheduling problems and algorithms: just-in-time scheduling, flexibility and robustness, single machine problems, parallel machine problems, shop problems, etc. The second edition contains revisions and new material.

This book helps new teachers and experienced ones -- find solutions to common classroom challenges. It presents 25 real scenarios along with What's Effective, What's NOT Effective, and Bottom Line strategies for handling the most common teacher challenges. P>Ideal for high-interest staff development workshops or new teacher induction programs, this book shows teachers how to --
- get students to do what you want them to do
- deal with disrespectful student behaviors and handle I don't care attitudes
- deal with parents and difficult co-workers
- solve other common teaching challenges.

REAL Teachers, REAL Challenges, REAL Solutions: 25 Ways to Handle the Challenges of the Classroom Effectively is for
- new teachers who need common-sense answers to common teaching challenges.
- experienced teachers who seek to become even more effective.
- and all teachers who
- believe in treating their students with professionalism and dignity
- commit themselves to becoming the kind of educator that every student deserves

This book presents a novel decision-making support system based on paraconsistent annotated evidential logic, which directly handles imprecise, incomplete and contradictory data. The authors offer insights into areas such as engineering and biomedicine, as well as related fields. Decision analysis is useful in making choices when the consequences of actions are uncertain, like in business administration, where it assists in making investment decisions, and in health care, Decision analysis is also valuable when the possible actions may lead to conflicting consequences. A fundamental tenet of decision analysis is that even though the available information is incomplete, a decision must be made. Thus, analyses often contain assumptions about or estimates of missing data. The contribution that this method can provide to professionals and companies has significant relevance in terms of the impact of information systems on productivity and quality of the companies; the lack of training companies for proper planning and management of information systems; and the need for interdisciplinary treatment of several sectors of almost all related scientific areas. This book is a valuable resource for professionals seeking a competitive edge in their performance.