In this paper, we investigate group decision making problems with multiple types of linguistic preference relations. The paper has two parts with similar structures. In the first part, we transform the uncertain additive linguistic preference relations into the expected additive linguistic preference relations, and present a procedure for group decision making based on multiple types of additiv...

Computational methods for discovering the preferences of individuals are useful in many applications. In this paper, we propose a method for learning valued preference structures, using a natural extension of so-called pairwise classification. A valued preference structure can then be used in order to induce a ranking, that is a linear ordering of a given set of alternatives. This step is reali...

This paper is devoted to construction of fuzzy preference relations and to showing how this construction is connected with Lukasiewicz filters and TL-evaluators. We will study also extensions of Lukasiewicz filters on subsets of some X 6= ∅ to TL-evaluators on the system (lattice) of fuzzy functions f : X → [0, 1].

In decision making, in order to avoid misleading solutions, the study of consistency when the decision makers express their opinions by means of preference relations becomes a very important aspect in order to avoid misleading solutions. In decision making problems based on fuzzy preference relations the study of consistency is associated with the study of the transitivity property. In this pap...

A study was conducted to determine the neuroanatomical correlates of aesthetic preference for paintings using fMRI. Subjects were shown representational and abstract paintings in different formats (original, altered, filtered), and instructed to rate them on aesthetic preference. Our primary results demonstrated that activation in right caudate nucleus decreased in response to decreasing prefer...

Social recommendation has received great attention recently, which uses social information to alleviate the data sparsity problem and cold-start of systems. However, existing methods have two deficiencies. First, binary trust network used by current cannot reflect level different users. Second, assume that users only consider same influencial factors when purchasing goods establishing friendshi...