The primary goal of this book is to present to the scientific and management communities a
selection of applications using more recent Soft Computing (SC) and Computing with Words and
Perceptions (CWP) models and techniques meant to solve the economics and financial problems.
The selected examples could also serve as a starting point or as an opening out in the SC and
CWP techniques application to a wider range of problems in economics and finance. Decision
making in the present world is becoming more and more sophisticated time consuming and
difficult for human beings who require more and more computational support. This book addresses
the significant increase on research and applications of Soft Computing and Computing with
Words and Perceptions for decision making in Economics and Finance in recent years. Decision
making is heavily based on information and knowledge usually extracted from the analysis of
large amounts of data. Data mining techniques enabled with the capability to integrate human
experience could be used for a more realistic business decision support. Computing with Words
and Perceptions introduced by Lotfi Zadeh can serve as a basis for such extension of
traditional data mining and decision making systems. Fuzzy logic as a main constituent of CWP
gives powerful tools for modeling and processing linguistic information defined on numerical
domain.
