… intelligent decision support system based on two-phased … is a customer oriented intelligent
DSS which is designated to … DSS and proposed methodology which includes two-phased …

… Each component of DSS, except the dialogue component, consists of a base (storage) and
… The project portfolio for investment planning is selected through the two phased evaluation of …

… All spectra were manually phased and calibrated to the DSS internal reference methyl …
[ 31 , 32 ] The R 2 X and R 2 Y values, which denote the explained variance of X and Y …

… in R 2 . If c 1 impacts on c 2 in CRM, then R 1 influences R 2 through the path R 1 → c 1 → c
2 → R 2 … of R 1 on R 2 is assessed by:(10) D C R M R 2 , R 1 = ∑ n = 1 , c n i s c a u s e d b y …

… a two-phased approach to automating the model building process in decision support systems
… The advantages of this two-phased model building process are pointed out and related to …

… of decision support systems (DSSs) which help financial managers in evaluating proposals
for strategic and long-range planning. With the proposed two-phased DSS, … the two phased …

… ( r , s ) is the discriminate effect (the distance between the values of variable X i for e r and e
s : d i ( r , s ) = x i r … of correlations, as it has been described in Section 2.2 w i = r i ∑ j = 1 k r j …

… requires an efficient decision support system which can (i) … DSS should help decision-maker
to do ‘what-if’ analysis (Chan, 2005). In this paper, a two-phased decision support system …

… of Duplex steel (DSS 2507) under wet and cryogenic environments. DSS 2507 steel is … due
to their high strength provided by two phased structure. Reduction of 35.21 % and 14.80 % is …

… In this research, we propose a two-phased semantic optimization modeling approach
that … So, we propose an approach to two-phased model formulation to cope with dynamic …