Fitting ST-OWA operators to empirical data (2009)
The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some...
A Search-Based Approach for Dynamically Re-packaging Downloadable Applications (2009)
Thierry Bodhuin, Massimiliano Di Penta, Luigi Troiano
Mechanisms such as Java Web Start enable on-thefly downloading and execution of applications installed on remote servers, without the need for having them installed on the local machine. The rapid...
EUSFLAT- LFA 2005 On some properties of mixing OWA operators with t-norms and t-conorms (2009)
Ronald R. Yager, Luigi Troiano
The OWA operators are traditionally used in the context of decision making as the means to aggregate the satisfaction of single criteria into a overall preference index. They belong to the class of...
A Reference Model for Security Level Evaluation: Policy and Fuzzy Techniques (2008)
Valentina Casola, Rosa Preziosi, Massimiliano Rak, Luigi Troiano
Abstract: In a world made of interconnected systems which manage huge amounts of confidential and shared data, security plays a significant role. Policies are the means by which security rules are...
Gerardo Canfora, Luigi Troiano
Abstract: Decision making often deals with incomplete and uncertain information. Uncertainty concerns the level of confidence associated with the value of a piece of information, while incompleteness...
Can Fuzzy Mathematics enrich the Assessment of Software Maintainability? (2008)
Gerardo Canfora, Luigi Cerulo, Luigi Troiano
Abstract. Software maintainability depends both on qualitative and quantitative data. Existing maintainability models aggregate data into hierarchies of characteristics with given dependencies....
On the Relationship Between the Quantifier Threshold and OWA Operators (2008)
Luigi Troiano, Ronald R. Yager
Abstract. The OWA weighting vector and the fuzzy quantifiers are strictly related. An intuitive way for shaping a monotonic quantifier, is by means of the threshold that makes a separation between...
Texture recognition by using GLCM and various aggregation functions (2008)
Beliakov, Gleb, James, Simon, Troiano, Luigi
We discuss the problem of texture recognition based on the grey level co-occurrence matrix (GLCM). We performed a number of numerical experiments to establish whether the accuracy of classification...
Fitting ST-OWA operators to empirical data (2007)
Beliakov, Gleb, Troiano, Luigi
The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some...
Fitting ST-OWA operators to empirical data (2007)
Beliakov, Gleb, Troiano, Luigi
The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some...
Fitting ST-OWA operators to empirical data (2007)
Beliakov, Gleb, Troiano, Luigi
The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some...
A model for opinion agreement and confidence in multi-expert multi-criteria decision making (2004)
Canfora, Gerardo, Troiano, Luigi
In multi-expert multi-criteria decision making problems, we often have to deal with different opinions, different importance of criteria and experts, missing data, unexpressed opinions and experts...
A model for opinion agreement and confidence in multi-expert multi-criteria decision making (2004)
Canfora, Gerardo, Troiano, Luigi
In multi-expert multi-criteria decision making problems, we often have to deal with different opinions, different importance of criteria and experts, missing data, unexpressed opinions and experts...
A model for opinion agreement and confidence in multi-expert multi-criteria decision making (1970)
Gerardo Canfora, Luigi Troiano
In multi-expert multi-criteria decision making problems, we often have to deal with different opinions, different importance of criteria and experts, missing data, unexpressed opinions and experts...