'Payoff table' diaporamas de présentation

Game Theory

Statistics 5802 Game Theory Overview of games 2 player games representations 2 player zero-sum games Render/Stair/Hanna text CD QM for Windows software Modeling Lecture Agenda A model of reality Elements Players Rules Strategies Payoffs What is a game?

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Game Theory

Game Theory. Statistics 802. Lecture Agenda. Overview of games 2 player games representations 2 player zero-sum games Render/Stair/Hanna text CD QM for Windows software Modeling. What is a game?. A model of reality Elements Players Rules Strategies Payoffs. Players.

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Decision Analysis

Decision Analysis. (to p2). What is it? What is the objective? More example Tutorial: 8 th ed:: 5, 18, 26, 37 9 th ed: 3, 12, 17, 24. (to p5). (to p50). What is it?. It concerns with making a decision or an action based on a series of possible outcomes

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Chapter 4 Decision Making

Chapter 4 Decision Making. Advanced Organizer. Chapter Objectives. Discuss how decision making relates to planning Explain the process of engineering problem solving Be able to solve problems using three types of decision making tools

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Decision Analysis

Decision Analysis. Problem Formulation Decision Making without Probabilities Decision Making with Probabilities Risk Analysis and Sensitivity Analysis Decision Analysis with Sample Information Computing Branch Probabilities Utility and Decision Making. Problem Formulation.

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Chapter 14 Decision Analysis

Chapter 14 Decision Analysis. Problem Formulation Decision Making without Probabilities Decision Making with Probabilities Risk Analysis and Sensitivity Analysis Decision Analysis with Sample Information Computing Branch Probabilities Utility and Decision Making. Problem Formulation.

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Chapter 5

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Quantitative Module A

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Quantitative Module A

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Chapter 7 Decision Analysis

Chapter 7 Decision Analysis. Problem Formulation Decision Making without Probabilities Decision Making with Probabilities Risk Analysis and Sensitivity Analysis. Problem Formulation. A decision problem is characterized by decision alternatives, states of nature, and resulting payoffs.

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Decision Making Under Risk Continued: Decision Trees

Decision Making Under Risk Continued: Decision Trees. MGS3100 - Chapter 6 Part 2. Problem: Jenny Lind (Text Problems 8-16).

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Ch 7 Decision theory Learning objectives: After completing this chapter, you should be able to:

Ch 7 Decision theory Learning objectives: After completing this chapter, you should be able to: 1.Outline the characteristics of a decision theory approach to decision making. 2.Describe and give examples of decisions under certainty, risk, and complete uncertainty.

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Lecture

Lecture. 5. Decision Analysis Chapter 14. Decision Environments. Certainty - Environment in which relevant parameters have known values Risk - Environment in which certain future events have probabilistic outcomes

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Chapter 3. Decision Making in Healthcare Facilities

What should I do?. Chapter 3. Decision Making in Healthcare Facilities. Outline. Decision Process What Causes Poor Decisions? The Decision Level & Decision Milieu Decision Making under Uncertainty Payoff Table Methods Decision Making under Risk EVM, EOL, EVPI Decision Tree Approach

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Multiple Criteria Decision Analysis with Game-theoretic Rough Sets

Multiple Criteria Decision Analysis with Game-theoretic Rough Sets. Nouman Azam and JingTao Yao Department of Computer Science University of Regina CANADA S4S 0A2 azam200n@cs.uregina.ca jt yao@cs.uregina.ca http://www.cs.uregina.ca/~azam200n http://www.cs.uregina.ca/~jtyao.

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DECISION ANALYSIS

DECISION ANALYSIS. Decision Analysis with probabilities. Decision Making without Probabilities Decision Making with Probabilities. Payoff Tables. The consequence resulting from a specific combination of a decision alternative and a state of nature is a payoff .

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CVEN 5393 Spring 2013 Homework 8 Solution

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Chapter 10

Chapter 10. Inventory Management. Independent vs. Dependent Demand Items. Independent demand inventory items demand cannot be computed, it is random (uncertain) items such as finished goods or end items Dependent demand inventory items demand is directly related to that of another item

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