In this paper we present the results of a heuristic usability evaluation of three annotation tools (GATE, MMAX2 and UAM CorpusTool). We describe typical usability problems from two categories: (1) general problems, which arise from a disregard of established best practices and guidelines for user interface (UI) design, and (2) more specific problems, which are closely related to the domain of l...

In this paper, we extend the distance measure to the linguistic fuzzy sets, and develop the linguistic distance operators, such as linguistic weighted distance (LWD) operator, linguistic ordered weighted distance (LOWD) operator, and study some of their desired properties. These aggregation operators are very useful for decision-making problems because they establish a comparison between an ide...

In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic and geometric aggregation operators with interval-valued dual hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional arithmetic operation, we have developed some aggregation operators for aggregating interval-valued dual hesitant fuzzy linguistic information: i...

Both infants and adults are sensitive to the non-linguistic features of speech, and this sensitivity impacts speech sound categorization, but with somewhat different effects. While both infants and adults sometimes confuse the non-linguistic for the linguistic and are susceptible to categorization problems when the two covary, adults, on the other hand, are often able to exploit non-linguistic ...

Several choice processes of alternatives for non-homogeneous group decision making problems, assuming linguistic preference relations for expressing the opinions of individuals and linguistic values for expressing their respective power or importance degrees, are presented. These processes are designed using two choice degrees of alternatives based on the concept of fuzzy majority: quanti-er gu...

The aim of this paper is to present a consensus model for group decision making problems with unbalanced linguistic information, i.e., assuming that the preferences are assessed on linguistic term sets whose terms are not symmetrically and uniformly distributed. This consensus model is based on both a fuzzy linguistic methodology to deal with unbalanced linguistic term sets and consensus criter...

A new consensus model for the consensus reaching process, in a linguistic framework, is presented in heterogeneous group decision making problems, called rational consensus model. It is guided by some linguistic consensus and linguistic consistency meaures. All the measures are calculated from a set of linguistic preference relations used to provide experts' opinions. This consensus model allow...

In this contribution, it is introduced a linguistic dynamic multi-criteria decision-making model to solve decision problems in which time dimension is included in the solving process, and the decision-maker provides the assessments by means of linguistic terms. An illustrative example of linguistic dynamic multicriteria decision-making is exhibited.