S Greco, B Matarazzo, R Słowiński - Granular, Fuzzy, and Soft Computing, 2023 - Springer
Granular Computing Granular computing is a general computation theory for using granules such as subsets, classes, objects, clusters, and elements of a universe to build an efficient …
R Słowiński, S Greco, B Matarazzo - … 2007, Warsaw, Poland, June 28-30 …, 2007 - Springer
Abstract Dominance-based Rough Set Approach (DRSA) has been proposed by the authors to handle background knowledge about ordinal evaluations of objects from a universe, and …
W Kotłowski, R Słowiński - Preference learning ECML/PKDD 2008 …, 2008 - cs.put.poznan.pl
The role of machine learning is to generalize from a data sample. In order to generalize, every learning algorithm must be biased. Experience indicates that when this bias comes …
S Greco, B Matarazzo, R Słowiński - Handbook of Granular …, 2008 - books.google.com
Rough set theory [1, 2] relies on the idea that some knowledge (data, information) is available about objects of a universe of discourse U. Thus, a subset of U is defined using the …
S Greco, B Matarazzo, R Słowiński - Advances in intelligent information …, 2010 - Springer
Dominance-based rough sets generalize classical indiscernibility based rough sets by handling ordered value sets of attributes and monotonic relationships between values of …
S Greco, B Matarazzo, R Słowiński - Transactions on rough sets XII, 2010 - Springer
In this article, we characterize the Dominance-based Rough Set Approach (DRSA) from the point of view of its topological properties. Using the concept of a bitopological space, we …
R Słowiński, S Greco… - Multiple criteria decision …, 2007 - mcdm.ue.katowice.pl
The utility of the rough set approach to multiple criteria decision support is related to the nature of both, the input preferential information available in decision analysis, and the …
TA Grzeszczyk - … on Research Methodology for Business and …, 2019 - books.google.com
The main purpose of this paper is to provide discussion and empirical analysis of symbolic and non-symbolic methods for project evaluation. The part after the introduction is devoted …