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Assessment of Sustainable Development

Author

Listed:
  • Cornelissen, A.M.G.
  • van den Berg, J.H.
  • Koops, W.J.
  • Grossman, M.

Abstract

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.

Suggested Citation

  • Cornelissen, A.M.G. & van den Berg, J.H. & Koops, W.J. & Grossman, M., 2000. "Assessment of Sustainable Development," ERIM Report Series Research in Management ERS-2000-23-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:31
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    References listed on IDEAS

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    1. Kelly, Kristine L., 1998. "A systems approach to identifying decisive information for sustainable development," European Journal of Operational Research, Elsevier, vol. 109(2), pages 452-464, September.
    2. Callens, Isabelle & Tyteca, Daniel, 1999. "Towards indicators of sustainable development for firms: A productive efficiency perspective," Ecological Economics, Elsevier, vol. 28(1), pages 41-53, January.
    3. O.J. Kuik & A.J. Gilbert, 1999. "Indicators of Sustainable Development," Chapters, in: Jeroen C.J.M. van den Bergh (ed.), Handbook of Environmental and Resource Economics, chapter 49, Edward Elgar Publishing.
    4. Hansen, J. W., 1996. "Is agricultural sustainability a useful concept?," Agricultural Systems, Elsevier, vol. 50(2), pages 117-143.
    5. Munda, G. & Nijkamp, P. & Rietveld, P., 1992. "Multicriteria evaluation and fuzzy set theory : applications in planning for sustainability," Serie Research Memoranda 0068, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    Cited by:

    1. A., Rjumohan, 2017. "Fuzzy Set Theory: A Primer," MPRA Paper 101875, University Library of Munich, Germany.
    2. A., Rjumohan, 2017. "Multi-Dimensional Development – An Application of Fuzzy Set Theory to the Indian States," MPRA Paper 99208, University Library of Munich, Germany.

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    More about this item

    Keywords

    agriculture; assessment; fuzzy set theory; sustainable development;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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