In this method two artificial alternatives are hypothesized:
Ideal alternative: the one which has the best level for all attributes considered.
Negative ideal alternative: the one which has the worst attribute values.
TOPSIS selects the alternative that is the closest to the ideal solution and farthest from negative ideal alternative.
Construct normalized decision matrix. This step transforms various attribute dimensions into non-dimensional attributes, which allows comparisons across criteria.