It is common that experts involved in complex decision real world problems use natural language for expressing their knowledge in uncertain frameworks. The language is inherent vague, hence probabilistic decision models are not very suitable in such cases. Therefore, other tools as fuzzy logic and fuzzy linguistic approach have been successfully used to model and manage such vagueness. The use ...

Decision making under uncertainty is a key issue in information fusion and logic based reasoning approaches. The aim of this paper is to show noteworthy theoretical and applicational issues in the area of decision making under uncertainty that have been already done and raise new open research related to these topics pointing out promising and challenging research gaps that should be addressed ...

Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging tasks. In this paper we report our experience with applying extractive summarization techniques to process news articles, economic reports and ...

Interval arithmetic as part of interval mathematics and Granular Computing is unusually important for development of science and engineering in connection with necessity of taking into account uncertainty and approximativeness of data occurring in almost all calculations. Interval arithmetic also conditions development of Artificial Intelligence and especially of automatic thinking, Computing w...

When trying to introduce qualitative information into processes for performance arts, two major points must be considered: how to really deal with qualitative data and how to insert this into the processes. We propose to design a library for Max/MSP with the aim of offering a wide and full range of tools to be able to reason with all kinds of qualitative concepts. The idea is to implement insid...

We discuss an approach to fuzzy linguistic summaries of data (bases) in the sense of Yager, i.e., for instance, if we have a (large) database on employees, and we are interested in a relation between the age and qualifications, then it may be summarized by, say, “most young employees are well qualified”. We present the derivation of such linguistic summaries in the context of Zadeh’s computing ...

Departing from how the speaker became involved, and by what he did work with fuzzy sets and fuzzy logic, an (obviously subjective) look at their future will be discussed. Namely, by arguing on some aspects such research could follow to not only being a theoretic ground for Zadeh’s Computing with Words, but also for going towards a new experimental science dealing with the imprecision and non-ra...

In some applications of computing with words, it is necessary to map an interval type-2 fuzzy set (IT2 FS) into one of several classes, which are also represented by IT2 FSs. This classifier can be implemented by a subsethood measure. Five existing subsethood measures for IT2 FSs are considered in this paper. Comparative studies show that Vlachos and Sergiadis’s IT2 FS subsethood measure gives ...

Some verbal data, especially those connected with subjective evaluation of reality or imprecise measurements in complicated situations, are more or less vague. They can be (and usually are) represented by fuzzy set theoretical concepts and processed by means of corresponding tools. The "computation with words", which covers this branch of the fuzzy set theory, belongs to rapidly developing part...

This paper describes a mix word-pair mix-WP) identifier to resolve homonym/segmentation ambiguities as well as perform STW conversion effectively for Chinese input. The mix-WP identifier includes a specific word-pair (SWP) identifier and a common wordpair (CWP) identifier. It is designed as a supporting processing with Chinese input systems. Our experiments show that by applying the mix-WP iden...