Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 110281
Title Assessment of the contribution of sustainability indicators to sustainable development: a novel approach using fuzzy set theory
Author(s) Cornelissen, A.M.G.; Berg, J. van den; Koops, W.J.; Grossman, M.; Udo, H.M.J.
Source Agriculture, Ecosystems and Environment 86 (2001). - ISSN 0167-8809 - p. 173 - 185.
DOI https://doi.org/10.1016/S0167-8809(00)00272-3
Department(s) Animal Production Systems
Plant Production Systems
PE&RC
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2001
Abstract As a consequence of the impact of sustainability on agricultural production systems, a standardized framework to monitor sustainable development would have great practical utility. The objective of this paper is to introduce fuzzy set theory and develop fuzzy mathematical models to assess sustainable development based on context-dependent economic, ecological, and societal sustainability indicators. Membership functions are at the core of fuzzy models, and define the degree to which indicators contribute to development. Although a decision-making process regarding sustainable development is subjective, fuzzy set theory links human expectations about development, expressed in linguistic propositions, to numerical data, expressed in measurements of sustainability indicators. In the future, practical implementation of such models will be based on elicitation of expert knowledge to construct a membership function. The fuzzy models developed in this paper provide a novel approach to support decisions regarding sustainable development.
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