Modeling Decisions

Modeling Decisions PDF

Author: Vicenç Torra

Publisher: Springer Science & Business Media

Published: 2007-05-11

Total Pages: 284

ISBN-13: 3540687912

DOWNLOAD EBOOK →

This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. It will thus be required reading for engineers, statisticians and computer scientists of all kinds. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover numerous topics in detail, including the synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals.

Decision Modelling for Health Economic Evaluation

Decision Modelling for Health Economic Evaluation PDF

Author: Andrew Briggs

Publisher: OUP Oxford

Published: 2006-08-17

Total Pages: 256

ISBN-13: 0191004952

DOWNLOAD EBOOK →

In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence PDF

Author: Vicenc Torra

Publisher: Springer Science & Business Media

Published: 2004-07-22

Total Pages: 340

ISBN-13: 3540225552

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the First International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2004, held in Barcelona, Spain in August 2004. The 26 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 53 submissions. The papers are devoted to topics like models for information fusion, aggregation operators, model selection, fuzzy integrals, fuzzy sets, fuzzy multisets, neural learning, rule-based classification systems, fuzzy association rules, algorithmic learning, diagnosis, text categorization, unsupervised aggregation, the Choquet integral, group decision making, preference relations, vague knowledge processing, etc.

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence PDF

Author: Vicenç Torra

Publisher: Springer

Published: 2010-10-31

Total Pages: 309

ISBN-13: 3642162924

DOWNLOAD EBOOK →

This book constitutes the proceedings of the 7th InternationalConference on Modeling Decisions for Artificial Intelligence, MDAI 2010,held in Perpignan, France, in October 2010. The 25 papers presented were carefully reviewed and selected from 43submissions. The volume also contains extended abstracts of the threeinvited papers. The topics covered are aggregation operators anddecision making; clustering and similarity; computational intelligence;and data privacy.

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence PDF

Author: Yasuo Narukawa

Publisher: Springer

Published: 2008-11-05

Total Pages: 247

ISBN-13: 3540882693

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2008, held in Sabadell, Spain, in October 2008. The 19 revised full papers presented together with 2 invited lectures were thoroughly reviewed and selected from 43 submissions; they are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. The papers are organized in topical sections on aggregation operators, decision making, clustering and similarity, computational intelligence and optimization, as well as data privacy.

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence PDF

Author: Vincenc Torra

Publisher: Springer Science & Business Media

Published: 2006-03-20

Total Pages: 384

ISBN-13: 3540327800

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the Third International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2006, held in Tarragona, Spain, in April 2006. The 31 revised full papers presented together with 4 invited lectures were thoroughly reviewed and selected from 97 submissions. The papers are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

Real-World Decision Modeling with DMN

Real-World Decision Modeling with DMN PDF

Author: James Taylor

Publisher: Jtonedm

Published: 2023-07-24

Total Pages: 0

ISBN-13:

DOWNLOAD EBOOK →

Organizations make thousands of automated, operational decisions every week. How well they make these decisions drives profitability, reputation and customer satisfaction. Decision modeling helps them understand, automate and improve them

Data, Models, and Decisions

Data, Models, and Decisions PDF

Author: Dimitris Bertsimas

Publisher: Ingram

Published: 2004

Total Pages: 530

ISBN-13: 9780975914601

DOWNLOAD EBOOK →

Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of quantitative methods and models for management. Stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.

Managerial Decision Modeling

Managerial Decision Modeling PDF

Author: Nagraj (Raju) Balakrishnan

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2017-08-07

Total Pages: 828

ISBN-13: 1501506315

DOWNLOAD EBOOK →

This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941

Building Models for Marketing Decisions

Building Models for Marketing Decisions PDF

Author: Peter S.H. Leeflang

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 642

ISBN-13: 146154050X

DOWNLOAD EBOOK →

This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables.