Today, firms can access to big data (tweets, videos, click streams, and other unstructured
sources) to extract new ideas or understanding about their products, customers, and …

This chapter provides an overview of possibility theory, emphasizing its historical roots and
its recent developments. Possibility theory lies at the crossroads between fuzzy sets …

Big data has already received a tremendous amount of attention from managers in every
industry, policy and decision makers in governments, and researchers in many different …

Fuzzy influence diagrams (FIDs) are graphical models that combine qualitative and
quantitative analyses to solve decision-making problems though some shortcomings that …

This paper reviews research in relation with modelling uncertainty within Decision Support
Systems (DSS) from 2000 to 2011. It specifically addresses software that has been built or …

Influence diagrams have become a popular tool for representing and solving complex
decision-making problems under uncertainty. In this paper, we focus on the task of building …

In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible
method to post-process the results of an optical character recognizer (OCR). Deterministic …

Many decisions are made in interactive situations in which decision makers interact and may
also affect each other's decision outcomes. In order to model decision makings in such …

Abstract Formal Concept Analysis (FCA) is a field of applied mathematics with its roots in
order theory, in particular the theory of complete lattices. It is not only a method for data …

The majority of issues we face on a daily basis include numerous factors or criteria. People
are thus compelled to find solutions to these problems. Multi-Criteria Decision-making …