306
R. Bruggemann et al.
This allows us to document the usage of our own modules and the steps of a
calculation from the import of the data to the calculation results.
References
Al-Sharrah, G. (2010). Ranking using the Copeland score: A comparsion with the Hasse diagram.
Journal of Chemical Information and Modeling, 50, 785–791.
Arcagni, A. (2017). PARSEC: An R package for partial orders in socio-economics. In R. B. Marco
Fattore (Ed.), Partial order concepts in applied sciences (pp. 275–289). Cham: Springer.
Brans, J. P., & Vincke, P. H. (1985). A preference ranking organisation method (the PROMETHEE
method for multiple criteria decision – Making). Management Science, 31, 647–656.
Bruggemann, R., & Carlsen, L. (2011). An improved estimation of averaged ranks of partially
orders. MATCH Communications in Mathematical and in Computer Chemistry, 65, 383–414.
Bruggemann, R., & Carlsen, L. (2014). Incomparable: What now II? Absorption of incomparabilities by a cluster method. Quality & Quantity, 49, 1633–1645.
Bruggemann, R., & Carlsen, L. (2016). An attempt to understand Noisy Posets. MATCH
Communications in Mathematical and in Computer Chemistry, 75, 485–510.
Bruggemann, R., & Halfon, E. (1995). Theoretical Base of the Program “Hasse”. GSF-Bericht
20/95, München-Neuherberg.
Bruggemann, R., & Kerber, A. (2018). Fuzzy logic and partial order; first attempts with the
new PyHasse-program L_eval. MATCH Communications in Mathematical and in Computer
Chemistry, 80, 745–768.
Bruggemann, R., & Patil, G. P. (2010). Multicriteria prioritization and partial order in environmental sciences. Environmental and Ecological Statistics, 17, 383–410.
Bruggemann, R., & Patil, G. P. (2011). Ranking and prioritization for multi-indicator systems –
Introduction to partial order applications. New York: Springer.
Bruggemann, R., & Voigt, K. (2011). A new tool to analyze partially ordered sets – Application:
Ranking of polychlorinated biphenyls and alkanes/alkenes in river main, Germany. MATCH
Communications in Mathematical and in Computer Chemistry, 66, 231–251.
Bruggemann, R., Halfon, E., Welzl, G., Voigt, K., & Steinberg, C. (2001). Applying the concept
of partially ordered sets on the ranking of near-shore sediments by a battery of tests. Journal of
Chemical Information and Computer Sciences, 41, 918–925.
Bruggemann, R., Kerber, A., & Restrepo, G. (2011). Ranking objects using fuzzy orders, with
an application to refrigerants. MATCH Communications in Mathematical and in Computer
Chemistry, 66, 581–603.
Bruggemann, R., Scherb, H., Schramm, K.-W., Cok, I., & Voigt, K. (2014a). CombiSimilarity,
an innovative method to compare environmental and health data sets with different attribute
sizes example: Eighteen Organochlorine pesticides in soil and human breast milk samples.
Ecotoxicology and Environmental Safety, 105, 29–35.
Bruggemann, R., Carlsen, L., Voigt, K., & Wieland, R. (2014b). PyHasse software for partial order
analysis. In R. Bruggemann, L. Carlsen, & J. Wittmann (Eds.), Multi-indicator systems and
modelling in partial order (pp. 389–423). New York: Springer.
Bücherl, C., Bruggemann, R., & Halfon, E. (1995). Hasse-Ein Programm zur Analyse von HasseDiagrammen. GSF-Bericht 19/95, München-Neuherberg.
Figueira, J., Greco, S., & Ehrgott, M. (2005). Multiple criteria decision analysis, state of the art
surveys. Boston: Springer.
Ganter, B., & Wille, R. (1996). Formale Begriffsanalyse Mathematische Grundlagen. Berlin:
Springer.
Gary Strangman.: http://old.lwn.net/1998/1210/a/stats.py.html. Assessed 13 Oct 2018.
R. Bruggemann et al.
This allows us to document the usage of our own modules and the steps of a
calculation from the import of the data to the calculation results.
References
Al-Sharrah, G. (2010). Ranking using the Copeland score: A comparsion with the Hasse diagram.
Journal of Chemical Information and Modeling, 50, 785–791.
Arcagni, A. (2017). PARSEC: An R package for partial orders in socio-economics. In R. B. Marco
Fattore (Ed.), Partial order concepts in applied sciences (pp. 275–289). Cham: Springer.
Brans, J. P., & Vincke, P. H. (1985). A preference ranking organisation method (the PROMETHEE
method for multiple criteria decision – Making). Management Science, 31, 647–656.
Bruggemann, R., & Carlsen, L. (2011). An improved estimation of averaged ranks of partially
orders. MATCH Communications in Mathematical and in Computer Chemistry, 65, 383–414.
Bruggemann, R., & Carlsen, L. (2014). Incomparable: What now II? Absorption of incomparabilities by a cluster method. Quality & Quantity, 49, 1633–1645.
Bruggemann, R., & Carlsen, L. (2016). An attempt to understand Noisy Posets. MATCH
Communications in Mathematical and in Computer Chemistry, 75, 485–510.
Bruggemann, R., & Halfon, E. (1995). Theoretical Base of the Program “Hasse”. GSF-Bericht
20/95, München-Neuherberg.
Bruggemann, R., & Kerber, A. (2018). Fuzzy logic and partial order; first attempts with the
new PyHasse-program L_eval. MATCH Communications in Mathematical and in Computer
Chemistry, 80, 745–768.
Bruggemann, R., & Patil, G. P. (2010). Multicriteria prioritization and partial order in environmental sciences. Environmental and Ecological Statistics, 17, 383–410.
Bruggemann, R., & Patil, G. P. (2011). Ranking and prioritization for multi-indicator systems –
Introduction to partial order applications. New York: Springer.
Bruggemann, R., & Voigt, K. (2011). A new tool to analyze partially ordered sets – Application:
Ranking of polychlorinated biphenyls and alkanes/alkenes in river main, Germany. MATCH
Communications in Mathematical and in Computer Chemistry, 66, 231–251.
Bruggemann, R., Halfon, E., Welzl, G., Voigt, K., & Steinberg, C. (2001). Applying the concept
of partially ordered sets on the ranking of near-shore sediments by a battery of tests. Journal of
Chemical Information and Computer Sciences, 41, 918–925.
Bruggemann, R., Kerber, A., & Restrepo, G. (2011). Ranking objects using fuzzy orders, with
an application to refrigerants. MATCH Communications in Mathematical and in Computer
Chemistry, 66, 581–603.
Bruggemann, R., Scherb, H., Schramm, K.-W., Cok, I., & Voigt, K. (2014a). CombiSimilarity,
an innovative method to compare environmental and health data sets with different attribute
sizes example: Eighteen Organochlorine pesticides in soil and human breast milk samples.
Ecotoxicology and Environmental Safety, 105, 29–35.
Bruggemann, R., Carlsen, L., Voigt, K., & Wieland, R. (2014b). PyHasse software for partial order
analysis. In R. Bruggemann, L. Carlsen, & J. Wittmann (Eds.), Multi-indicator systems and
modelling in partial order (pp. 389–423). New York: Springer.
Bücherl, C., Bruggemann, R., & Halfon, E. (1995). Hasse-Ein Programm zur Analyse von HasseDiagrammen. GSF-Bericht 19/95, München-Neuherberg.
Figueira, J., Greco, S., & Ehrgott, M. (2005). Multiple criteria decision analysis, state of the art
surveys. Boston: Springer.
Ganter, B., & Wille, R. (1996). Formale Begriffsanalyse Mathematische Grundlagen. Berlin:
Springer.
Gary Strangman.: http://old.lwn.net/1998/1210/a/stats.py.html. Assessed 13 Oct 2018.