23rd International Conference on Multiple Criteria Decision Making MCDM 2015 - Bridging Disciplines
August 2nd–7th, 2015, Hamburg, Germany
|01.10.2015|
The submission deadline for the Special Issue of the Computers and Operations Research Journal on "Evolutionary Multiobjective Optimization" has been extended to October 15, 2015.
|24.08.2015|
Now the Book of Abstracts can be downloaded. Also a short program is available. Note that each document will be provided in a printed version at the conference.
|13.08.2015|
The photos of the scientific and the social program can be downloaded here.
|31.07.2015|
The Master Track Schedule (also provided in a printed version) and the Session Chair Instructions can be downloaded.
|09.07.2015|
The public transportation ticket will be sent to registered participants who have pre-paid the conference fee by 27th of July at the latest.
|08.07.2015|
The final timetable is online.
|04/2015|
Conference registration opens.
|04/2015|
Apply for free voucher codes for traveling to Hamburg with FlixBus.
|03/2015|
Update on the social program.
Decision Aiding with Multiple Criteria Hierarchy Process
Roman Słowiński
Poznań University of Technology, and Polish Academy of Sciences, Poland
Hierarchy in the family of criteria helps decomposing complex decision making problems into smaller and manageable subtasks. We present a methodology called Multiple Criteria Hierarchy Process (MCHP) which permits consideration of preference relations with respect to a subset of criteria at any level of the hierarchy. In Multiple Criteria Decision Aiding (MCDA), knowing these preference relations is important both for collecting preference information from the Decision Maker (DM) at different levels, and for explaining recommendations proposed at higher levels using preferences identified at lower levels. The MCHP is not restricted to any particular MCDA method. We concentrate on combination of MCHP with Robust Ordinal Regression (ROR), that takes into account all sets of parameters of an assumed preference model, which are compatible with preference information elicited by a Decision Maker (DM) in terms of ordinal pairwise comparisons of some alternatives and criteria. As a result of ROR, one gets necessary and possible preference relations in the set of alternatives, which hold for all compatible sets of parameters or for at least one compatible set of parameters, respectively. One can analyze these results not only with respect to the whole set of criteria, but also with respect to any subset of criteria at different levels of the hierarchy. We show this methodology for value function preference models, including a general additive value function and the Choquet integral, and for outranking preference models used in ELECTRE and PROMETHEE methods.
Related works with co-authors:
- S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process in Robust Ordinal Regression. Decision Support Systems, 53 (2012) no.3, 660-674.
- S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE. OMEGA, The International Journal of Management Science, 41 (2013) no.5, 820-846.
- S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process for ELECTRE Tri methods. Submitted for publication 2014.
- S. Angilella, S. Corrente, S. Greco, R. Słowiński: Robust Ordinal Regression and Stochastic Multiobjective Acceptability Analysis in Multiple Criteria Hierarchy Process for the Choquet integral preference model. Submitted for publication 2015.