Part 1: Theory and analysis of MCDM problems: History of MCDM and how it is performed
Multicriteria decision making, evolution and characteristics
The initial decision matrix and its relation with modelling a scenario
Part 2: Theory and analysis of MCDM problems: What can be done by using the MCDM process?
How to shape multiples scenarios
The decision-maker, a vital component of the decision-making process
Design of a decision-making method reality-wise - how should it be done?
Part 3: Theory and analysis of MCDM problems: proposes SIMUS as a strategic procedure to tackle real-world scenarios
Linear programming fundamentals
The SIMUS method
Sensitivity analysis by SIMUS - the IOSA procedure
Group decision-making
SIMUS applied to quantify SWOT strategies
Analysis of lack of agreement between MSDM methods related to the solution of a problem-proposing a methodology for comparing methods to a reference
Part 4: Practice of problem solving using MCDM- support for practitioners
Support and guidance to practitioners by simulation of questions formulated by readers, and detailed answers and examples
Best practices - modeling and sensitivity analysis in MCDM
Some complex and uncommon cases solved by SIMUS.