INPRE and ComPAIRS. These two decision support programs are early implementations of techniques based on the propagation of imprecise preference statements in hierarchical weighting. In particular, INPRE analyzes interval judgments of relative importance in the analytic hierarchy process (AHP) while ComPAIRS works with similar statements in value tree analysis. The underlying methodology of these programs is described in the references below. ComPAIRS: Salo A., Hämäläinen R.P.: Preference assessment by imprecise ratio statements, Operations Research, Vol. 40, No. 6, November-December 1992, pp. 1053-1061.

References in zbMATH (referenced in 35 articles , 1 standard article )

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  1. de Almeida, Adiel Teixeira; de Almeida, Jonatas Araujo; Costa, Ana Paula Cabral Seixas; de Almeida-Filho, Adiel Teixeira: A new method for elicitation of criteria weights in additive models: flexible and interactive tradeoff (2016)
  2. Fliedner, Thomas; Liesiö, Juuso: Adjustable robustness for multi-attribute project portfolio selection (2016)
  3. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  4. Ahn, Byeong Seok: Extreme point-based multi-attribute decision analysis with incomplete information (2015)
  5. Mattila, V.; Virtanen, K.: Ranking and selection for multiple performance measures using incomplete preference information (2015)
  6. Korhonen, Pekka J.; Silvennoinen, Kari; Wallenius, Jyrki; Öörni, Anssi: A careful look at the importance of criteria and weights (2013)
  7. Kangaspunta, Jussi; Liesiö, Juuso; Salo, Ahti: Cost-efficiency analysis of weapon system portfolios (2012)
  8. Mustajoki, Jyri: Effects of imprecise weighting in hierarchical preference programming (2012)
  9. Conde, Eduardo; de la Paz Rivera Pérez, María: A linear optimization problem to derive relative weights using an interval judgement matrix (2010)
  10. Podinovski, Vladislav V.: Set choice problems with incomplete information about the preferences of the decision maker (2010)
  11. Yeh, Chung-Hsing; Chang, Yu-Hern: Modeling subjective evaluation for fuzzy group multicriteria decision making (2009)
  12. Liesiö, Juuso; Mild, Pekka; Salo, Ahti: Robust portfolio modeling with incomplete cost information and project interdependencies (2008)
  13. Guo, Min; Yang, Jian-Bo; Chin, Kwai-Sang; Wang, Hongwei: Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty (2007)
  14. Liesiö, Juuso; Mild, Pekka; Salo, Ahti: Preference programming for robust portfolio modeling and project selection (2007)
  15. Mustajoki, Jyri; Hämäläinen, Raimo P.; Lindstedt, Mats R.K.: Using intervals for global sensitivity and worst-case analyses in multiattribute value trees (2006)
  16. Salo, Ahti; Punkka, Antti: Rank inclusion in criteria hierarchies (2005)
  17. Hämäläinen, Raimo P.; Mäntysaari, Juha: Dynamic multi-objective heating optimization (2002)
  18. Lee, Kyung Sang; Park, Kyung Sam; Kim, Soung Hie: Dominance, potential optimality, imprecise information, and hierarchical structure in multi-criteria analysis (2002)
  19. Mármol, Amparo M.; Puerto, Justo; Fernández, Francisco R.: Sequential incorporation of imprecise information in multiple criteria decision processes (2002)
  20. Eum, Yun Seong; Park, Kyung Sam; Kim, Soung Hie: Establishing dominance and potential optimality in multi-criteria analysis with imprecise weight and value. (2001)

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