Constraint Decision Making Systems In Engineering

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Constraint Decision-Making Systems in Engineering

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
What Every Engineer Should Know About Decision Making Under Uncertainty

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.
Decision Making in Systems Engineering and Management

Author: Gregory S. Parnell, PhD
language: en
Publisher: John Wiley & Sons
Release Date: 2008-02-08
This book provides students and professionals with the concepts and tools to successfully deal with systems engineering challenges of the 21st century. The three major topics addressed are systems, systems engineering, and systems decision making.