These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme “Data-Driven Decision-Making.” The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. Completely revised and updated to reflect the new 2014 ACA Code of Ethics and current ethics codes in psychology, social work, and marriage and family therapy. This unparalleled text guides helping professionals in the use of ethical decision-making processes as the foundation for ethical approaches to counseling and psychotherapy. The book focuses on ethical and legal challenges and standards across multiple professions emphasizing counseling. It not only identifies relevant ethical issues in clinical mental health, rehabilitation, group, school, addictions, and career counseling, it also addresses couple and family therapy, clinical supervision, and forensics. The text illuminates the particular application of ethical standards within each specialty. The book features five new chapters that clearly define how ethical standards are interpreted and applied: Privacy, Confidentiality, and Privileged Communication; Informed Consent; Roles and Relationships With Clients; Professional Responsibility; and Counselor Competency. Under the umbrella of each broad topic, the particular nuances of ethical standards within each specialty are analyzed to facilitate comparison across all specialties and settings. The text also addresses current issues in office and administrative practices, technology, and forensic practice that are crucial to school, clinical, and private practice settings. Compelling case studies illustrate the connection between ethical decision-making models and ethical practice. Learning objectives, a comprehensive review of scholarly literature, and a robust ancillary package for educators contribute to the fourth edition's value for use in upper-level undergraduate and graduate classrooms. New to the Fourth Edition: Comprehensive reorganization and reconceptualization of content Reflects new 2014 ACA Code of Ethics Includes five new chapters on Privacy, Confidentiality, and Privileged Communication; Informed Consent; Roles and Relationships With Clients; Professional Responsibility; and Counselor Competency Emphasizes specialty practice organized by professional standards Facilitates comparison of standards across disciplines Addresses new issues in office, administrative, technology, and forensic practice Key Features: Delivers an unequaled overview of ethical decision making in counseling and psychotherapy Defines how ethical standards are interpreted and applied in specialty practice Describes how to avoid, address, and solve serious ethical and legal dilemmas Includes learning objectives, case studies, and scholarly literature reviews Offers robust ancillary package with Instructor's Manual, Test Bank, and PowerPoint Slides

The four principles that can help us to overcome our brains' natural biases to make better, more informed decisions--in our lives, careers, families and organizations. In Decisive, Chip Heath and Dan Heath, the bestselling authors of Made to Stick and Switch, tackle the thorny problem of how to overcome our natural biases and irrational thinking to make better decisions, about our work, lives, companies and careers. When it comes to decision making, our brains are flawed instruments. But given that we are biologically hard-wired to act foolishly and behave irrationally at times, how can we do better? A number of recent bestsellers have identified how irrational our decision making can be. But being aware of a bias doesn't correct it, just as knowing that you are nearsighted doesn't help you to see better. In Decisive, the Heath brothers, drawing on extensive studies, stories and research, offer specific, practical tools that can help us to think more clearly about our options, and get out of our heads, to improve our decision making, at work and at home.

Our decisions determine our lives. Invest in a company that goes bankrupt and you lose your life savings. Say the wrong thing in an interview and you miss the job of the lifetime. Make no decisions and you miss every opportunity. In today's rapidly changing world, the cost of poor decisions (and no decisions) is higher than ever. In How to Make Good Decisions Wisely, author and scholar Alan Ehler lays out a clear approach to making big decisions based on the Bible and recent discoveries in neuroscience and decision science. He presents a simple, four-step process that can be followed to make any kind of decision, whether personal, professional, or relational. Making big decisions can rewrite lives, careers, families, churches, and businesses. A lot is at stake. Learn how to choose well.

This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications — risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets — equity; foreign exchange; bond; commodity; derivatives; Approaches — data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.