coppeCosenzaR - COPPE-Cosenza Fuzzy Hierarchy Model
The program implements the COPPE-Cosenza Fuzzy Hierarchy
Model. The model was based on the evaluation of local
alternatives, representing regional potentialities, so as to
fulfill demands of economic projects. After defining demand
profiles in terms of their technological coefficients, the
degree of importance of factors is defined so as to represent
the productive activity. The method can detect a surplus of
supply without the restriction of the distance of classical
algebra, defining a hierarchy of location alternatives. In
COPPE-Cosenza Model, the distance between factors is measured
in terms of the difference between grades of memberships of the
same factors belonging to two or more sets under comparison.
The required factors are classified under the following
linguistic variables: Critical (CR); Conditioning (C); Little
Conditioning (LC); and Irrelevant (I). And the alternatives can
assume the following linguistic variables: Excellent (Ex), Good
(G), Regular (R), Weak (W), Empty (Em), Zero (Z) and Inexistent
(In). The model also provides flexibility, allowing different
aggregation rules to be performed and defined by the Decision
Maker. Such feature is considered in this package, allowing the
user to define other aggregation matrices, since it considers
the same linguistic variables mentioned.
