By G. Munda, P. Nijkamp, P. Rietveld (auth.), Massimo Paruccini (eds.)
There's a call for for aids to determination making from assorted clinical disciplines within the evaluate and administration of environmental difficulties. considering that such difficulties can't be solved at the foundation of 1 criterion of selection, i.e. by way of the optimization of a unmarried criterion, multicriteria selection aids (MCDA) need to be used. there's a number of MCDA tools, each one having been built for a particular area of program. right here it really is proven that many tools can be utilized within the environmental administration challenge.
The ebook is split into 3 sections. part 1 is worried with MCDA in environmental managements, and is subdivided into sections masking common elements, environmental making plans, waste administration, and effort administration. part 2 includes 3 papers: setting, social offerings and intergenerational fairness; signs for sustainable agriculture and rural improvement, and instruments for research; and An atmosphere and its equilibrium issues. part three includes contributions on a variety of particular MCDA equipment, comparable to neural nets, ARGUS, AHP, SURMESURE, morphological theories, and rough-set sorting.
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Extra resources for Applying Multiple Criteria Aid for Decision to Environmental Management
RESULTS On the basis of a linear model simulating the behavior of the private farmers, the impacts of various incentives such as technical assistance, new types of cultures, non-agricultural work offers, etc ... on several criteria (auto-subsistence, soil erosion rate, sensitivity to economic and climatic risks, etc ... ) have been investigated (for more details see ). 5. Conclusions In this paper we have presented a methodology for choosing environmental protection strategies for industrial processes which allow the decision makers to take simultaneously into account several objectives of environmental concern, aspects related to the economic and technical viabilities of the processes, as well as to the preference strategies of the process managers, 27 A bilevel multiobjective optimization problem is obtained and solved using an original method.
The evaluation objective is subdivided into subobjectives which represent properties to be associated with elements of a given set (the set of actions in a decisional view, the set of "objects" in a more general context). Using a verbal scale of evaluation, experts determine adequatiOn degrees of these proprties to each object. The same scale is used for estimating the importance of properties. Such data contain a part of imprecision. But it is not proved that this one is upper than the amount of imprecision associated to numerical evaluations.
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