  Multi-criteria decision support systems are used in various fields of human
activities. In every alternative multi-criteria decision making problem can be
represented by a set of properties or constraints. The properties can be
qualitative & quantitative. For measurement of these properties, there are
different unit, as well as there are different optimization techniques.
Depending upon the desired goal, the normalization aims for obtaining reference
scales of values of these properties. This paper deals with a new additive
ratio assessment method. In order to make the appropriate decision and to make
a proper comparison among the available alternatives Analytic Hierarchy Process
(AHP) and ARAS have been used. The uses of AHP is for analysis the structure of
the project selection problem and to assign the weights of the properties and
the ARAS method is used to obtain the final ranking and select the best one
among the projects. To illustrate the above mention methods survey data on the
expansion of optical fibre for a telecommunication sector is used. The decision
maker can also used different weight combination in the decision making process
according to the demand of the system.
