To solve group decision-making problems we have to take in account different aspects. On the one hand, depending on the problem, we can deal with different types of information. In this way, most group decision-making problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions. However, there exist problems whose assessme...

Label semantics is a random set framework for modelling with words. In previous work, several machine learning algorithms based on this semantics have been proposed and studied. In this paper, we introduce a new linguistic rule induction algorithm based on Quinlan’s FOIL. According to this algorithm, a set of linguistic rules are generated for classification problems. The new model is empirical...

The reaching of consensus in group decision-making (GDM) problems is a common task in group decision processes. In this contribution, we consider GDM with linguistic information. Different experts may have different levels of knowledge about a problem and, therefore, different linguistic term sets (multi-granular linguistic information) can be used to express their opinions. The aim of this pap...

We investigate multiple criteria group decision-making problems in which there are priority relationships between the decision elements (criteria and experts), and decision information provided by decision makers takes the form of multigranular uncertain linguistic information. Firstly, some operational laws and possibility degree of multi-granular uncertain linguistic variables are introduced....

In this paper, we investigate the uncertain linguistic multiple attribute decision making problems to deal with the supplier selection in supply chain management with incompletely known weights information. We developed a multiple attribute decision making method to select supplier in uncertain linguistic setting, by which the attribute weights can be determined. We utilize the uncertain lingui...

This paper described recent activities of the Linguistic Data Consortium in the collection, annotation and distribution of language data the developments of tools and standards for using that data, the creation of metadata to facilitate the search for linguistic resources.

Although it prefigures many advances in linguistic theory, the scholarship of nineteenth century scholar Mikołaj Kruszewski is today largely forgotten. In these papers I hope to rectify this situation somewhat by introducing Kruszewski’s insights to modern discourse on phonology. In addition to a detailed summary of Kruszewski’s major work, An Outline of Linguistic Science (Očerk Nauki O Jazyke...

The linguistic approach based on fuzzy sets has given very good results in the modeling of qualitative information, from what has been applied to solve several real-world problems in medicine, information retrieval, education, etc. In this paper, some practical considerations about the choice and semantic of the linguistic term set of such an approach, as well as diierent proposals of aggre-gat...

In this paper, we study the multiple attribute group decision making (MAGDM) problems, in which the information about the attribute weights and the expert weights are interval numbers, and the attribute values take the form of uncertain linguistic information. We introduce some operational laws of uncertain linguistic variables and a formula for comparing two uncertain linguistic variables, and...

An approach based on relative optimal membership degree is proposed to deal with multiple attribute decisionmaking (MADM) problems under risk with weight information unknown and attribute value as linguistic variable. Firstly, the operational laws of linguistic variable are introduced, and risk linguistic decision matrix is transformed into certain linguistic decision matrix by expectation valu...