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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.
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.
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