One of the formal technique in Data mining is Formal Concept Analysis (FCA). During preprocessing of a many-valued context many applications of FCA require the partitioning of numerical data attributes into some smaller intervals. Designation of such numerical intervals with linguistic terms without domain experts will help researchers to understand attributes and their dependencies better. To ...

This paper describes the mathematical basis for a computer language which can be used for representing natural human reasoning with imprecise linguistic information. The approach to doing this employs a collection of abstraction mechanisms which are based on the concept of a linguistic variable first introduced by Zadeh [1975]. The present semantics differs from that of Zadeh, however, in that ...

We describe our experience in developing a discourse-annotated corpus for community-wide use. Working in the framework of Rhetorical Structure Theory, we were able to create a large annotated resource with very high consistency, using a well-defined methodology and protocol. This resource is made publicly available through the Linguistic Data Consortium to enable researchers to develop empirica...

This section considers the actual performance in poverty reduction of selected LDCs for which information is available in order to get an idea of which circumstances promote success and which do not. The analysis has to be carried out in a situation of extreme data constraint, especially for the SSA which has the largest concentration of LDCs. In view of the very different nature and extent of ...

In this paper, we define the concept of uncertain multiplicative linguistic preference relation, and introduce some operational laws of uncertain multiplicative linguistic variables. We propose some new aggregation operators including the uncertain linguistic geometric mean (ULGM) operator, uncertain linguistic weighted geometric mean (ULWGM) operator, uncertain linguistic ordered weighted geom...

Lexical representation so far has not been extensively investigated in regard to language acquisition. Existing computational linguistic systems assume that text analysis and generation take place in conditions of complete lexical knowledge. That is, no unknown elements are encountered in processing text. It turns out however, that productive as well as non-productive word combinations require ...

The intuitionistic uncertain fuzzy linguistic variable can easily express the fuzzy information, and the power average (PA) operator is a useful tool which provides more versatility in the information aggregation procedure. At the same time, Einstein operations are a kind of various t-norms and t-conorms families which can be used to perform the corresponding intersections and unions of intuiti...

Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed f...