pyhasse.org

PyHasse -- Partial Order -- Multi Indicator Systems

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Ranking and decision support. 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? Have a look at our linklist and the list of references to find more information about multi indicator systems. Use the menus Links. PyHasse started in 2007.

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PyHasse -- Partial Order -- Multi Indicator Systems | pyhasse.org Reviews

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Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Ranking and decision support. 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? Have a look at our linklist and the list of references to find more information about multi indicator systems. Use the menus Links. PyHasse started in 2007.

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PyHasse -- Partial Order -- Multi Indicator Systems | pyhasse.org Reviews

https://pyhasse.org

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Ranking and decision support. 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? Have a look at our linklist and the list of references to find more information about multi indicator systems. Use the menus Links. PyHasse started in 2007.

SUBDOMAINS

lpom.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Aim of the programm. LPOM stands for Local Partial Order Model. LPOM0 and LPOMext are approximations to calculate the average height, hav, of partially ordered sets (posets). More documentation can be found at:. To run this module for a better insight. Select a dataset, there you also can load your own data set.

acm.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the program. Find attribute pairs causing incomparabilities. Full documentation about the moduel is available at. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) . Select a dataset, there you also can load your own data set. Performs some standard calculations. Additional module specific calculations. Export your results, e.g. graphviz.

chain.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the programm. The module Chain allows a detailled analysis of the chains, when start-, endpoints and a minimum number of the so-called height are selected. For example the similarity among chains can be evaluated by the Tanimoto-similarity coefficient. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

copeland.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the programm. A copeland matrix will be derived. X y with respect to attribute qi: add ( weight[i]). X y with respect to attribute qi: add (- weight[i]). Each entry of the Copeland matrix has - - values according to x y or x y. Then the rowsum of copeland matrix gives a ranking. More documentation can be found at: http:/ docs.pyhasse.org. To run this module for a better insight. Select a dataset, there you also can load your own data set.

fuzzy.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the program. Application of fuzzy concepts within the framework of partial orders is one interesting option to take into regard that not any slight numerical difference is considered as relevant for a ranking. Full documentation about the moduel is available at. Http:/ docs.pyhasse.org. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

spyout.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the program. First inspection of data-driven partially ordered sets. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) . Select a dataset, there you also can load your own data set. Performs some standard calculations. Additional module specific calculations. Export your results, e.g. graphviz.

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pyhasse.org

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PyHasse -- Partial Order -- Multi Indicator Systems

http://www.pyhasse.org/lang/en

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Ranking and decision support. 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? Have a look at our linklist and the list of references to find more information about multi indicator systems. Use the menus Links. PyHasse started in 2007.

2

PyHasse -- Partial Order -- Multi Indicator Systems

http://www.pyhasse.org/blog

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Interview with Lars Carlsen. Where is PyHasse a good tool for? Lars Carlsen is answering questions about his work today and in the past. What actually are you doing scientifically? An overall theme of my activities is sustainability. This involves various studies related to environmental and human health impact of xenobiotics and their transformation products. It further includes studies in the social science area. Another example could be, that y...

3

PyHasse -- Partial Order -- Multi Indicator Systems

http://www.pyhasse.org/lang/de

Multi Indicator Systeme ⚬ Partial Order Theorie ⚬ PyHasse. Hasse, Helmut ein deutscher Mathematiker inspirierte uns zur Entwicklung des Programmpaketes PyHasse , wobei die Vorsibe Py für die Programmiersprache Python steht. Wozu PyHasse? Sie wollen Städte, Chemikalien oder etwa Nationen nach beispielsweise Wohnqualität, Umweltgefährdung oder Kreditwürdigkeit in Rangfolgen bringen? Kennen Sie hierfür Meßverfahren? Dann versuchen Sie es doch einmal mit PyHasse! PyHasse started in 2007.

4

PyHasse -- Partial Order -- Multi Indicator Systems

http://www.pyhasse.org/links

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Examples for Hasse diagram technique. Bewertung von Monitoringdaten der Umweltprobenbank des Bundes mit der Hasse-Diagramm-Technik. Beispiel einer Anwendung der Hasse-Diagrammtechnik. Führung durch HDT, Wasserwirtschaft. Buch: Partial Order in Environmental Sciences and Chemistry. Voigt and Bruggemann et. al. (PDF). Multi-indicator Systems and Modelling in Partial Order. PyHasse started in 2007. You want to rank cities, chemicals or nations?

5

PyHasse -- Partial Order -- Multi Indicator Systems

http://www.pyhasse.org/calc

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. At the moment the size of the data sets is restricted to maximal 100 objects. Spyout is recommended for an. Classical construction of a ranking index. Posetic construction of ranking indices. Greater than/Less than in the fuzzy framework. About the used datatsets:. Voigt, K., R. Brüggemann, H. Scherb, I. Cok, B. Mazmanci, M. A. Mazmanci, C. Turgut, and K.-H. Schramm. 2013. Evaluation of organochlorin...PyHasse started in 2007. You don’t like to co...

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PyHasse -- Partial Order -- Multi Indicator Systems

Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse. Ranking and decision support. 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? Have a look at our linklist and the list of references to find more information about multi indicator systems. Use the menus Links. PyHasse started in 2007.

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