4eMka2 is an implementation of the new approach in multiple criteria decision support, combining advantages of rough sets and dominance relation.
The purpose of this system is resolving of multi-criteria sorting problems. System can be used in many different areas e.g. finances, medicine, geology, pharmacology and many other connected with analysis of vast data sets. The main difference between this system and the ones that are already in use is that it bases on rough set theory combined with dominance relation, which is quite new approach in multi-criteria decision support.
The main function of the system is extraction of the classification rules from a set of already classified examples. These rules could be used to make partition of new data sets. Rules are presented in very convenient and comprehensible manner as a set of "if ... then..." sentences. Another advantage of the system is dealing with inconsistent and incomplete data. This is possible due to use of rough set with dominance relation.
The role of the user is simplified to preparation of the classified examples set and analysis of induced rules. It means that user stays within range of his domain. He does not have to get familiar with theory basis of used analysis model, which is often case in similar systems e.g. UTA and Electre. These systems do require much more skills from user at least to evaluate some additional coefficients. That means our system should be more user friendly and require less additional time spent to learn.
4eMka2 is an interactive software system running on the family of 32-bit Microsoft Windows operating systems (Windows 95 and better).
Features currently supplied by 4eMka include:
Free version of 4eMka2 is available for downloading. It can be used for any non-profit activities. Please read the detailed license agreement on the download page.
The article describing in details methodology implemented in 4eMka2 is also available for downloading.
If you use 4eMka2 as a computational tool in any published work, we kindly ask you for mentioning it. You could quote the following reference:
S.Greco, B.Matarazzo, R.Slowinski: The use of rough sets and fuzzy sets in MCDM. In: T.Gal, T.Hanne, T.Stewart, eds. Advances in Multiple Criteria Decision Making. Kluwer Academic Publishers, Dordrecht, Boston (1999), 14.1-14.59.
Please send us an exact reference of your publication. We are very interested in hearing about effects of your application of 4eMka2.
All remarks, suggestions, questions and bugs reports about 4eMka2 are
welcome. Please, do not hesitate to contact the following persons:
Roman Słowiński