Many multiple attribute group decision making (MAGDM) problems with linguistic information involve uncertainties, which significantly increase the complexity and difficulty in decision analysis. In order to solve such problems, we require appropriate aggregation operators that are capable of dealing with uncertain linguistic information. In this paper, firstly, the uncertain two-tuple linguisti...

In this chapter, Herrera-Mart́ınez’ 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) or from Dempster-Shafer Theory (DST) frameworks. The proposed approach preserves the precision and the efficiency of the combination of linguistic information. Some basic operators on imprecise 2-tup...

This paper proposes a new approach to solve the multiple attribute group decision making (MAGDM) problem where attribute values are in the format of uncertain linguistic information and attribute weights are in the format of linguistic information. Firstly, concepts and comparison laws of uncertain 2-tuple are given. Then, an uncertain 2-tuple ordered weighted averaging (UTOWA) operator is used...

The aim of this paper is to propose a procedure to estimate missing preference values when dealing with incomplete fuzzy linguistic preference relations assessed using a 2–tuple fuzzy linguistic approach. This procedure attempts to estimate the missing information in an individual incomplete fuzzy linguistic preference relation using only the preference values provided by the respective expert....

Ngram-based Statistical Machine Translation relies on a standard Ngram language model of tuples to estimate the translation process. In training, this translation model requires a segmentation of each parallel sentence, which involves taking a hard decision on tuple segmentation when a word is not linked during word alignment. This is especially critical when this word appears in the target lan...

In this contribution a new matching function for a symmetrical threshold semantics is presented. It can be interpreted as a tuning of that proposed in [10] which was defined using an ordinal fuzzy linguistic approach. This new matching function is defined using a 2-tuple fuzzy linguistic approach and, consequently, avoids the loss of precision and information in final results. On the other hand...

In recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. Owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. The researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...