https://github.com/wdestroier/payoff_matrix
Payoff matrix creation and real-time decision analysis with multiple decision criteria.
https://github.com/wdestroier/payoff_matrix
decision-making risk-analysis uncertainty-analysis
Last synced: about 1 month ago
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Payoff matrix creation and real-time decision analysis with multiple decision criteria.
- Host: GitHub
- URL: https://github.com/wdestroier/payoff_matrix
- Owner: Wdestroier
- License: bsd-3-clause
- Created: 2024-09-18T11:21:27.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-09-21T00:39:59.000Z (8 months ago)
- Last Synced: 2025-02-09T23:13:04.706Z (3 months ago)
- Topics: decision-making, risk-analysis, uncertainty-analysis
- Language: Dart
- Homepage: https://payoffmatrix.surge.sh
- Size: 1.05 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Payoff Matrix
Payoff matrix creation and real-time decision analysis with multiple decision criteria support. Including Maximax, Maximin, Laplace, Savage, Hurwicz, Action Expected Value (VEA), Perfect Information Expected Value (VEIP) and optimal alternative.
- Maximax: a criterion for risk-takers, it selects the alternative with the maximum possible payoff, focusing on the most optimistic scenario.
- Maximin: a conservative criterion that chooses the alternative with the best worst-case outcome, prioritizing risk minimization.
- Laplace: assumes all outcomes are equally likely and selects the alternative with the highest average payoff, balancing optimism and pessimism.
- Savage: also known as the minimax, it chooses the alternative that minimizes the maximum regret, focusing on avoiding missed opportunities.
- Hurwicz: a compromise between optimism and pessimism, this criterion weights the best and worst payoffs with a coefficient to find a balance in decision-making.
- Action Expected Value (VEA): calculates the expected payoff for each alternative, taking into account probabilities, to select the best choice.
- Perfect Information Expected Value (VEIP): measures the value of knowing the outcome with certainty before making a decision, comparing the expected benefit of perfect information with the best action under uncertainty.
- Optimal Alternative: The decision that provides the best overall outcome based on all decision criterion.
## Try it out
See the project in action [here](https://payoffmatrix.surge.sh/).
## Installation
1. Clone the repository.
2. Make sure you have Flutter 3.24.2 installed.
3. Navigate to the project directory and install dependencies:
```bash
cd payoff_matrix
flutter pub get
```
3. Run the app:
```bash
flutter run
```
## License
This project is licensed under the BSD (3-Clause) License - see the LICENSE file for details.