4 citations · 4 across the 5 of their papers we have counts for
5 papers
PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models
Salvatore Greco, Jacek Karolczak, Roman Słowiński +1
Explainable artificial intelligence (XAI) has predominantly focused on generating model-centric explanations that approximate the behavior of black-box models. However, such explan…
An Explainable and Interpretable Composite Indicator Based on Decision Rules
Salvatore Corrente, Salvatore Greco, Roman Słowiński +1
Composite indicators are widely used to score or classify units evaluated on multiple criteria. Their construction typically involves aggregating criteria evaluations, a common pra…
Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
Salvatore Greco, Roman Słowiński
The seven-valued logic considered in this paper naturally arises within the rough set framework, allowing to distinguish vagueness due to imprecision from ambiguity due to coarsene…
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
Marko Palangetić, Chris Cornelis, Salvatore Greco +1
In granular computing, fuzzy sets can be approximated by granularly representable sets that are as close as possible to the original fuzzy set w.r.t. a given closeness measure. Suc…
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System
Marco Cinelli, Miłosz Kadziński, Grzegorz Miebs +2
We present the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS). This decision support system helps analysts answering a recurring question in decision sci…