In two volumes this new edition presents the state of the art in Multiple Criteria Decision
Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several
years the editors not only present surveys of the foundations of MCDA but look as well at
many new areas and new applications. Individual chapter authors are among the most prestigious
names in MCDA research and combined their chapters bring the field completely up to date. Part
I of the book considers the history and current state of MCDA with surveys that cover the
early history of MCDA and an overview that discusses the pre-theoretical assumptions of MCDA.
Part II then presents the foundations of MCDA with individual chapters that provide a very
exhaustive review of preference modeling along with a chapter devoted to the axiomatic basis
of the different models that multiple criteria preferences. Part III looks at outranking
methods with three chapters that consider the ELECTRE methods PROMETHEE methods and a look
at the rich literature of other outranking methods. Part IV on Multiattribute Utility and
Value Theories (MAUT) presents chapters on the fundamentals of this approach the very well
known UTA methods the Analytic Hierarchy Process (AHP) and its more recent extension the
Analytic Network Process (ANP) as well as a chapter on MACBETH (Measuring Attractiveness by a
Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches with
chapters on risk and uncertainty in MCDA the decision rule approach to MCDA the fuzzy
integral approach the verbal decision methods and a tentative assessment of the role of fuzzy
sets in decision analysis. Part VI on Multiobjective Optimization contains chapters on recent
developments of vector and set optimization the state of the art in continuous multiobjective
programming multiobjective combinatorial optimization fuzzy multicriteria optimization a
review of the field of goal programming interactive methods for solving multiobjective
optimization problems and relationships between MCDA and evolutionary multiobjective
optimization (EMO). Part VII on Applications selects some of the most significant areas
including contributions of MCDA in finance energy planning problems telecommunication network
planning and design sustainable development and portfolio analysis. Finally Part VIII on
MCDM software presents well known MCDA software packages.
