Decision support system with AHP
Project description
Project Description
Decision support systems are used in industry, to assist users in making decisions. Many methods are used in decision making, one of which is the Analytical Hierarchy Process (AHP). In this method, several layers can be used in decision making. This package has been designed to solve the AHP method with several layers.
Depedencies
- Python >= 3
- numpy
How to use
- run(layers)
Parameters
layers : iterable, array, np.array
The structure of your AHP model (single layer or multi layer).
Example structure
- Goal
- Layer 1
- Node 1
- Node 2
- Node 3
- Layer 2
- Node 1
- Node 2
- Alternatives Layer
- Alternative 1
- Alternative 2
- Alternative 3
- Alternative 4
Example of code
from stahp import stahp
print(stahp.run(
[
[
[1, .3, 5],
[3, 1, 5],
[.2, .2, 1]
],
[
[
[1, .2],
[5, 1]
],
[
[1, 3],
[.3, 1]
],
[
[1, 4],
[.25, 1]
]
],
[
[
[1, 3, .25, 7],
[.3, 1, .25, 7],
[4, 4, 1, 9],
[.14, .14, .11, 1]
],
[
[1, 3, .25, 7],
[.3, 1, .25, 7],
[4, 4, 1, 9],
[.14, .14, .11, 1]
]
]
]
))
Example of output
[0.2502 0.1562 0.5556 0.038 ] #alternative 3 is the best choice
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