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Decision Sciences and Stakeholders Processes
Abstract Most real world problems involve uncertain information. Although uncertainty can often be reduced, it can be seldom completely eliminated. Whether we are dealing with scientific, engineering, or personal problems, we are forced to make decisions that are based on incomplete knowledge. Even the choice of whether more information should be collected before making an actual decision is itself a decision under uncertainty. Decision making under uncertainty has been addressed in mathematics by probability theory and expected utility theory. These two together are known as decision theory. The art and practice of decision theory is known as decision analysis. Large applications of decision analysis/decision sciences can be found in risk engineering.
Decision Sciences and Stakeholders Processes
Abstract Most real world problems involve uncertain information. Although uncertainty can often be reduced, it can be seldom completely eliminated. Whether we are dealing with scientific, engineering, or personal problems, we are forced to make decisions that are based on incomplete knowledge. Even the choice of whether more information should be collected before making an actual decision is itself a decision under uncertainty. Decision making under uncertainty has been addressed in mathematics by probability theory and expected utility theory. These two together are known as decision theory. The art and practice of decision theory is known as decision analysis. Large applications of decision analysis/decision sciences can be found in risk engineering.
Decision Sciences and Stakeholders Processes
Gheorghe, Adrian V. (author) / Mock, Ralf (author)
1999-01-01
17 pages
Article/Chapter (Book)
Electronic Resource
English
Analytical Hierarchy Process , Decision Support System , Decision Analysis , Indicator System , Decision Science Engineering , Quality Control, Reliability, Safety and Risk , Operation Research/Decision Theory , Mathematical Logic and Foundations , Atmospheric Protection/Air Quality Control/Air Pollution , Engineering Economics, Organization, Logistics, Marketing
INFORMING DECISION SUPPORT PROCESSES - STAKEHOLDERS AND POST PROJECT IMPLEMENTATION FEEDBACK
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