ABSTRACT
This chapter aims to know the types of multi-attribute decision techniques, and understand the different weighting schemes and how to implement them. Multiple-attribute decision making (MADM) concerns making decisions when there are multiple, but finite, alternatives and criteria. This topic is sometimes called multi-criteria decision analysis or MCDA. Simple Additive Weighting was developed in the 1950s by Churchman and Ackoff; it is the simplest of the MADM methods, yet still one of the most widely used since it is easy to implement. Sensitivity analysis should be used to determine how sensitive the model is to the chosen weights. A decision maker can choose arbitrary weights, or, choose weights using a method that performs pairwise comparisons. The analytic hierarchy process can be described as a method to decompose a problem into sub-problems. In most cases, the decision maker has a choice among many alternatives.
