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Multicriteria Evaluation in a Fuzzy Environment - Theory and Applications in Ecological Economics (Paperback, Softcover reprint of the original 1st ed. 1995)
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Multicriteria Evaluation in a Fuzzy Environment - Theory and Applications in Ecological Economics (Paperback, Softcover reprint of the original 1st ed. 1995)
Series: Contributions to Economics
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This book is the result of some years of research carried out at
the Vrije Universiteit of Amsterdam and at the Joint Research
Centre of the European Commission. The awareness of actual and
potential conflicts between economic progress in production,
consumption, and technology and the environment has led to the
concept of "sustainable development," implying that economic and
ecological values are well balanced in evaluation and decision
making. The linkages between ecosystems and economic systems are
the focus of ecological economics. In ecological economics, a
multidimensional approach to economic and policy-making is
emphasised. In this book, the introduction of multicriteria
decision aid techniques in the framework of ecological economics is
widely discussed. Since such techniques are based on a
"constructive" rationality and allow one to take into account
conflictual, multidimensional, incommensurable and uncertain
effects of decisions, they can be considered perfectly consistent
with the methodological foundations of ecological economics. Since
here the assumption is accepted that efficiency, equity and
sustainability are the three conflictual values of economics, a
mathematical procedure able to deal with these issues in an
operational framework is developed, with a particular view on
imprecise information in a practical environmental planning
context. Given the problem of the differences in the measurement
levels of the variables used for economic-ecological modelling,
multicriteria methods able to deal with mixed information (both
qualitative and quantitative measurements) can be considered
particularly useful. Another problem related to the available
information concerns the uncertainty (stochastic and/or fuzzy)
contained in this information.
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