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Fig. 7. Compiling the normalised decision-making matrix, determining and comparing the
utility degree of objects in the ESIAPVN-DS system
criteria and the sums of maximising and minimising normalised weighted indicators ( S +j
and S -j ), and determines the weight Q j , priority and utility N j of the objects.
The system has an important advantage, because it shows the interim results—the analysis
of weights of all criteria used in the research, and visual representation of the objects.
Criteria weights are analysed by clicking any matrix cell with the value of the selected
criterion (links AVG, MN) in the table of multiple criteria analysis of alternatives. The result
is a percentage for each selected criterion, which is compared with an equivalent criterion of
other objects and shows that an improved value of the criterion may increase the value of
the object. The analysis of such results may be an effective and useful tool for comparisons
of energy production technologies, for operational analysis, for management decisions and
operational improvement plans, and for performance assessments. In the same model
window, it is possible to choose an object, to click on the cell with the data of the
replacement cost criterion, and the system will show the value of the object revised
considering the effect of environmental factors.
The typical input data used in decision support systems for value measurements are the
features of the objects and the values of the objects determined using the sales comparison
approach. It is hard to come by comparable items when the valuation concerns energy
objects and energy production technologies. Moreover, the value of past transactions
sometimes does not reflect the real value. Thus the replacement cost of an object
(technological facilities) is selected as the initial value in the ESIAPVN-DS system. The
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