In this paper, we develop a new approach for decision making with Dempster-Shafer theory of evidence by using linguistic information. We suggest the use of different types of linguistic aggregation operators in the model. We then obtain as a result, the belief structure — linguistic ordered weighted averaging (BS-LOWA), the BS — linguistic hybrid averaging (BS-LHA) and a wide range of particula...

In this paper a model is constructed for games with communication under incomplete information. The model, based on natural language processing techniques, is developed and tested on a case of Bridge bidding. The approach emphasizes the information processing nature of such games. A new methodology for performance evaluation of bidding programs is proposed, and – finally – some conclusions from...

More and more researchers in linguistics use large-scale experiments to test hypotheses about the data they research, in addition to more traditional informant work. In this paper we describe a new set of free, open-source tools that allow linguists with little background in programming or experimental methods to post studies online. These tools allow for the creation of a wide range of linguis...

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...

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...

The objective of the research considered in this paper is to develop a theoretical foundation for the representation of large-scale hierarchical complex systems, so-called Linguistic Geometry. The research relies on the formalization of heuristics of high-skilled human experts which have resulted in the development of successful decision support systems. This approach is based on a broad applic...

Many online human activities leave digital traces that are recorded in natural-language format. The exploitation of this unprecedented resource under a computational framework can bring a phase transition in our understanding of human social behavior and shape the future of social media systems. This thesis describes a computational approach to an intriguing aspect of conversational behavior, l...

Within the cognitive sciences, most researchers assume that it is the job of linguists to investigate how language is represented, and that they do so largely by building theories based on explicit judgments about patterns of acceptability - whereas it is the task of psychologists to determine how language is processed, and that in doing so, they do not typically question the linguists' represe...

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SYNTAGMA is a rule-based parsing system, structured on two levels: a general parsing engine and a language specific grammar. The parsing engine is a language independent program, while grammar and language specific rules and resources are given as text files, consisting in a list of constituent structures and a lexical database with word sense related features and constraints. Since its theoret...