Applied Decision-Making PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Applied Decision-Making PDF full book. Access full book title Applied Decision-Making by Mauricio A. Sanchez. Download full books in PDF and EPUB format.
Author: Mauricio A. Sanchez
Publisher: Springer
ISBN: 3030179850
Category : Technology & Engineering
Languages : en
Pages : 221
Get Book Here
Book Description
This book gathers a collection of the latest research, applications, and proposals, introducing readers to innovations and concepts from diverse environments and systems. As such, it will provide students and professionals alike with not only cutting-edge information, but also new inspirations and potential research directions. Each chapter focuses on a specific aspect of applied decision making, e.g. in complex systems, computational intelligence, security, and ubiquitous computing.
Author: Mauricio A. Sanchez
Publisher: Springer
ISBN: 3030179850
Category : Technology & Engineering
Languages : en
Pages : 221
Get Book Here
Book Description
This book gathers a collection of the latest research, applications, and proposals, introducing readers to innovations and concepts from diverse environments and systems. As such, it will provide students and professionals alike with not only cutting-edge information, but also new inspirations and potential research directions. Each chapter focuses on a specific aspect of applied decision making, e.g. in complex systems, computational intelligence, security, and ubiquitous computing.
Author: Duane Davis
Publisher: South Western Educational Publishing
ISBN: 9780534373979
Category : Beslutningstagning-ledelse
Languages : en
Pages : 0
Get Book Here
Book Description
This Fifth Edition reflects the ever-increasing changes in the tools and technology available today. Duane Davis teaches students and managers how to develop ways to efficiently and effectively plan, collect, organize, and assimilate information to make informed business decisions. This book covers the fundamentals of conducting research as well as the recent advancements in the field of business research such as the use of the Internet, qualitative research, and modern analytical tools (SPSS and Excel). The new edition is available packaged with the SPSS Student Version Software.
Author: Michael Moyer
Publisher: SAGE Publications
ISBN: 1506346537
Category : Social Science
Languages : en
Pages : 657
Get Book Here
Book Description
Applied Ethics and Decision Making in Mental Health covers ACA, APA, and AAMFT codes of ethics in an easy-to-read format that applies ethical standards to real-life scenarios. Authors Michael Moyer and Charles Crews not only focus on the various aspects of legal issues and codes of ethics, but also include ethical decision making models and exploration into the philosophy behind ethical decision making. By challenging readers to understand their own morals, values, and beliefs, this in-depth guide encourages critical thinking, real world application, and classroom discussion using case illustrations, exercises, and examples of real dialogue in every chapter.
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350
Get Book Here
Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: Evangelos Triantaphyllou
Publisher: Springer Science & Business Media
ISBN: 1475731574
Category : Business & Economics
Languages : en
Pages : 307
Get Book Here
Book Description
Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their quality is hard to determine. Thus, the question `Which is the best method for a given problem?' has become one of the most important and challenging ones. This is exactly what this book has as its focus and why it is important. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities' with some of these methods. What makes this book so valuable and different is that even though the analyses are rigorous, the results can be understood even by the non-specialist. Audience: Researchers, practitioners, and students; it can be used as a textbook for senior undergraduate or graduate courses in business and engineering.
Author: George Kuttickal Chacko
Publisher: Elsevier Publishing Company
ISBN:
Category : Mathematics
Languages : en
Pages : 520
Get Book Here
Book Description
Author: George K. Chacko
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 280
Get Book Here
Book Description
In real-life decision-making situations it is necessary to make decisions with incomplete information, for oftentimes uncertain results. In Decision-Making Under Uncertainty, Dr. Chacko applies his years of statistical research and experience to the analysis of twenty-four real-life decision-making situations, both those with few data points (eg: Cuban Missile Crisis), and many data points (eg: aspirin for heart attack prevention). These situations encompass decision-making in a variety of business, social and political, physical and biological, and military environments. Though different, all of these have one characteristic in common: their outcomes are uncertain/unkown, and unknowable. Chacko Demonstrates how the decision-maker can reduce uncertainty by choosing probable outcomes using the statistical methods he introduces. This detailed volume develops standard statistical concepts (t, x2, normal distribution, ANOVA), and the less familiar concepts (logical probability, subjective probability, Bayesian Inference, Penalty for Non-Fulfillment, Bluff-Threats Matrix, etc.). Chacko also offers a thorough discussion of the underlying theoretical principles. The end of each chapter contains a set of questions, three quarters of which focus on concepts, formulation, conclusion, resource commitments, and caveats; only one quarter with computations. Ideal for the practitioner, the work is also designed to serve as the primary text for graduate or advanced undergraduate courses in statistics and decision science.
Author: Martin F. Kaplan
Publisher: Academic Press
ISBN: 1483288722
Category : Science
Languages : en
Pages : 340
Get Book Here
Book Description
Human Judgment and Decision Processes is a collection of papers that covers the various theoretical frameworks that relate judgment to decision making. The book is comprised of 10 chapters that cover both mathematical models involved in decision making and interpersonal aspect of judgment process. The first five chapters cover papers about decision making. The subjects of the papers include multiattribute utility measurement for social decision making; portfolio theory and the measurement of risk; and information-integration analysis of risky decision making. The other half of the text deals with the judgment process, which includes topics such as interaction of judge and informational components; judgment and decision processes in the formation and change of social attitudes; and the role of probabilistic and syllogistic reasoning in cognitive organization and social inference. The book will be of great use to psychologists involved in research on human judgment and decision process.
Author: Himansu Das
Publisher: CRC Press
ISBN: 1000208540
Category : Computers
Languages : en
Pages : 263
Get Book Here
Book Description
The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.
Author: Dursun Delen
Publisher: Pearson Education
ISBN: 0133551075
Category : Business & Economics
Languages : en
Pages : 289
Get Book Here
Book Description
As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.
