krispy 1.0.2

ahp trade study tools

krispy

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Matrix Operations

The following matrix operations are available to the user.

1. Matrix(upper_right) takes the upper right triangle of a matrix to create a matrix object.

2. len(my_matrix) will give you the length of the matrix

3. str(my_matrix) intuitive.

4. Matrix.from_matrix_array(my_matrix) this accepts a matrix instead of upper right array

5. my_matrix.normalized() gives you the normalized matrix

6. my_matrix.eigenvector will give you the eigenvector of your matrix

7. my_matrix.consistency gives you the calculated consistency value

Getting Scores and Alternative Weights

1. get_scores(criteria_eigenvector, tech_spec_eigenvector1, tech_spec_eigenvector2,...)

2. get_alternative_weights(criteria_eigenvector, tech_spec_eigenvector1, tech_spec_eigenvector2,...)

Graphing

1. To graph the data & save the image (for uploading) use graph(results, names, 'filename_for_saving.png')

   You can send graph the original results, or the results from the sensitivity analysis. If you send JUST the original results, you'll need to wrap it in a list, i.e. [results]

Sensitivity Analysis

1. get_sensitivity(criteria_list, alt_weight_matrix) will produce a list of results lists. can plug the array produced by get_sensitivity() into graph.