You want to rank cities, chemicals or nations? However you don’t know, how? Then a multi-indicatorsystem can provide an approach. Now: How to rank? You don’t like to combine all these useful information of the single indicators into a single ranking index? Then try PyHasse!

If you are interested in using PyHasse, all aspects from using the demo (fourth column) to all versions of installing the software (second column) by yourself and the mathematical background (third column)are available in this section.

Module | Function | Math | Calculation Online |

CORE | Import/Export of Data, some basic procedures | ||

ACM | Analysis of conflicts (Antichain: a subset of the set of objects, mutually incomparable) | ||

LPOM | Approximative generation of a weak order for the objects of the selected data matrix | ||

CHAIN |
Generation of Chains and their characterization (Chain: a subset of the set of objects, mutually comparable) |
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COPELAND | The well-known decision support system based on a concept of Copeland | ||

FUZZY | Concept of De Walle et al […], where the relations between two objects are evaluated by fuzzy techniques. | ||

SIMILARITY | Two data matrices with the same objects, but with different indicator sets are compared (actually in restructuring) | ||

SPYOUT | Generation of a Hasse diagram (Basic module. Recommended for the beginner, and applied in this section.) | ||