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Recent Advances in Decision Making

Recent Advances in Decision Making
Author: Elisabeth Rakus-Andersson
Publisher: Springer Science & Business Media
Total Pages: 184
Release: 2009-08-04
Genre: Business & Economics
ISBN: 3642021867

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Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.


Super Deciders

Super Deciders
Author: Stefan Brusoni
Publisher: John Wiley & Sons
Total Pages: 327
Release: 2024-03-19
Genre: Business & Economics
ISBN: 1394239777

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Dramatically improve the decisions you make every day using insights from the latest neuroscience We make hundreds of decisions daily, from small ones – such as what to wear today and how to drive to work – to big ones – such as the company strategy and whether to launch a restructuring program that may impact thousands of people. In business, studies suggest that company executives spend 40% of their time making decisions and that the effectiveness of their decisions largely drives the results of the companies that they lead. In Super Deciders: The Science and Practice of Decision-Making in Dynamic and Uncertain Times, a team of renown researchers and business advisors deliver an application of the latest advances in neuroscience to effectively making the most difficult decisions, those we make in dynamic environments, in situations of uncertainty when we need to predict outcomes, we’re missing relevant information, time is scarce, and the environment is constantly changing. The book is written in three parts. In the first part, the book offers a practical framework for making effective decisions under uncertainty. In the second part, the book discusses approaches to effectively implement those decisions, thus managing change at every level, from the individual to the organizational. Finally, the book develops suggestions on how leaders can diagnose and improve – in themselves and in the people they lead – the cognitive abilities relevant to decision-making. You’ll also find: An enlightening business narrative detailing the journey of a fictional leader of an international travel operator named Inuk. Six cases that put you into real-life situations of making difficult decisions and that help you assess your decision-making effectiveness. An accessible and fun introduction to the neuroscience of decision-making. Ideal for managers, executives, directors, and other business leaders, Super Deciders is a can’t-miss decision-making playbook that you’ve been waiting for.


Recent Advances in Decision Making

Recent Advances in Decision Making
Author: Elisabeth Rakus-Andersson
Publisher: Springer
Total Pages: 179
Release: 2009-08-29
Genre: Business & Economics
ISBN: 9783642021886

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Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.


Intelligent Decision-making Support Systems

Intelligent Decision-making Support Systems
Author: Jatinder N.D. Gupta
Publisher: Springer Science & Business Media
Total Pages: 508
Release: 2007-03-30
Genre: Technology & Engineering
ISBN: 1846282314

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This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.


Breakthroughs in Decision Science and Risk Analysis

Breakthroughs in Decision Science and Risk Analysis
Author: Louis Anthony Cox, Jr.
Publisher: John Wiley & Sons
Total Pages: 328
Release: 2015-03-30
Genre: Business & Economics
ISBN: 1118217160

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Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.


Advances in Decision Making Under Risk and Uncertainty

Advances in Decision Making Under Risk and Uncertainty
Author: Mohammed Abdellaoui
Publisher: Springer
Total Pages: 0
Release: 2010-11-25
Genre: Business & Economics
ISBN: 9783642088001

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Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.


Advances in Decision Analysis

Advances in Decision Analysis
Author: Ward Edwards
Publisher: Cambridge University Press
Total Pages: 640
Release: 2007-07-23
Genre: Psychology
ISBN: 9780521863681

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By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book reviews and extends the material typically presented in introductory texts. Not a single book covers the broad scope of decision analysis at this advanced level. It will be a valuable resource for academics and students in decision analysis as well as decision analysts and managers


Decision Making Processes A Complete Guide - 2020 Edition

Decision Making Processes A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 306
Release: 2020-05-18
Genre:
ISBN: 9781867406334

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How are stakeholder voices/interests captured through multi-factor decision-making processes? How do you incorporate outcome data into your decision-making processes? What are the implications in terms of governance and decision-making processes in your organization after acquiring an investor? Do issues of cultural and linguistic competence enter into decision-making processes? Do decision-making processes consider the impact of a decision on your organizations risk profile? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Decision Making Processes investments work better. This Decision Making Processes All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Decision Making Processes Self-Assessment. Featuring 921 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Decision Making Processes improvements can be made. In using the questions you will be better able to: - diagnose Decision Making Processes projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Decision Making Processes and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Decision Making Processes Scorecard, you will develop a clear picture of which Decision Making Processes areas need attention. Your purchase includes access details to the Decision Making Processes self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Decision Making Processes Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.


Learned Human-in-the-Loop Decision Making

Learned Human-in-the-Loop Decision Making
Author: Brandon Basso
Publisher:
Total Pages: 330
Release: 2012
Genre:
ISBN:

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Human beings are decision making engines. From low level automatic activities, such as walking, to high-level reasoning, we readily solve complex perception and decision problems in real time. On the other end of the spectrum, computers and robots have proven particularly useful in dull, dirty, and dangerous domains--inspecting nuclear disaster sites, solving vast optimization problems, and generally accomplishing tasks difficult for humans. Recent advances in robotics and computer science have only served to underscore the difference between humans and robots, namely that robots tend to excel at lower level structured tasks, while humans are unmatched at higher level decision making, particularly when problems involve unstructured data, soft constraints, and ambiguous objectives. This thesis explores decision problems that lie in the gap between current robot capability and human ability. A generic framework for representing large-scale decision problems, referred to as the Generalized Planning Problem (GPP), is defined. A learning-based GPP solution method is presented that captures multiple stochastic problem elements and soft constraints, which arise in many real world problems. An example routing problem is presented to showcase the expressiveness of the GPP framework. To leverage human intuition with such problems, the GPP framework allows for incorporating human input in a structured way as an external reward signal. Adding human feedback into the learning process results in a variably autonomous decision making engine that can vary continuously between fully autonomous, fully manual, and everywhere in between.