This book addresses computer scientists IT specialists mathematicians knowledge engineers
and programmers who are engaged in research and practice of multicriteria decision making.
Fuzzy measures also known as capacities allow one to combine degrees of preferences support
or fuzzy memberships into one representative value taking into account interactions between
the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through
coefficients of fuzzy measures and fuzzy integrals such as the Choquet and Sugeno integrals
combine the inputs. Building on previous monographs published by the authors and dealing with
different aspects of aggregation this book especially focuses on the Choquet and Sugeno
integrals. It presents a number of new findings concerning computation of fuzzy measures
learning them from data and modeling interactions. The book does not require substantial
mathematical background as all the relevant notions are explained. It is intended as concise
timely and self-contained guide to the use of fuzzy measures in the field of multicriteria
decision making.
