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What is an example of a decision-modeling routine contained in a decision support system?

Decision support systems (DSS) contain decision-modeling routines, such as what-if analysis, whereby users can try particular decisions in simulations before actual implementation.


What has the author Anderson David R written?

Anderson David R has written: 'Modeling and Decision Analysis'


What has the author Rick Hesse written?

Rick Hesse has written: 'Managerial spreadsheet modeling and analysis' -- subject(s): Computer simulation, Management, Electronic spreadsheets, Problem solving 'Decision Making: A Management Science Guide for the IBM-PC (IBM-PC Series: 1-646)'


Spreadsheet are the modeling platform of choice?

It depends on what you are trying to model. For most models, there are specialty programs.


Which is the most suitable hazard analysis for showing probability in Hazards Modeling?

Cox Proportional is the most suitable hazard analysis for showing probability in Hazards Modeling.


What are the difference between a dss and an expert system?

A Decision Support System (DSS) is a computer-based tool that helps users make decisions using data analysis and modeling techniques. An Expert System is a computer program that mimics the decision-making abilities of a human expert in a particular field. Expert systems rely on rule-based reasoning and knowledge representation to provide solutions to specific problems.


What has the author John Malanchuk written?

John Malanchuk has written: 'Efficient algorithms for solving systems of ordinary differential equations for ecosystems modeling' -- subject(s): Computer programs, Differential equations, Numerical analysis, Ecology, System analysis, Numerical solutions


What is value at risk apporach?

Value at Risk is a term used in financial modeling and risk analysis. VaR describes the maximum loss not exceeded within a specified confidence limit. There's much more information and an Excel spreadsheet at the related link below


How would you describe data analysis?

Data analysis is a process of gathering, modeling, and transforming data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.


What is computer modeling and analysis and What is its importance in engineering desingn?

ask Dr. Herring


What are the basic objectives of operations research?

The basic objectives of operations research include optimizing decision-making processes, improving efficiency and effectiveness in operations, and finding solutions to complex problems through mathematical modeling and analysis. Its main goal is to help organizations make better decisions and improve overall performance.


How is information system useful?

The evaluation of financial data may be performed through ratio analysis, trend evaluation, and financial planning modeling. Financial planning and forecasting are facilitated if used in conjunction with a Decision Support System (DSS).