Agriculture Reference
In-Depth Information
In this case, the set of alternatives decreases to 98 candidate solutions and
the compromise solution corresponds to increased activity levels (see
column 'projection*' in Table 15.8). Aspiration and reservation values as
well as the compromise solution found by the reference point procedure for
this last scenario are illustrated in a five-dimension radar graph (Figure
15.6).
All magnitudes appear in terms of distances from the ideal point
(%). By revising aspiration and reservation levels in successive rounds the
DM can thus freely but systematically explore the set of efficient solutions.
5. CONCLUSIONS
Modelling agro-energy chains has been attempted through ad hoc bi-level
mixed integer linear programming. The fact that prices are not computed
but introduced parametrically ( ad hoc formulation) allows us to solve real
size problems. The output of this bi-level model is a series of candidate
solutions. Generating these solutions requires computation effort that may
take several hours. This is acceptable, since it concerns a preliminary stage
of analysis where decision makers are not involved. In the decision-making
stage, where a specific tax exemption scheme is to be selected among these
solutions, we propose an interactive decision support process with
immediate response times is implemented. An interactive multi-criteria
optimisation module supported the exploration of feasible alternative
configurations, on the basis of economic, social and environmental criteria,
in an iterative way.
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