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Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region1

Author

Listed:
  • Liem T. Tran

    (Center for Integrated Regional Assessment, Pennsylvania State University, University Park, Pennsylvania)

  • C. Gregory Knight

    (Center for Integrated Regional Assessment, Pennsylvania State University, University Park, Pennsylvania)

  • Robert V. O'Neill

    (Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, Tennessee)

  • Elizabeth R. Smith

    (US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park, North Carolina)

  • Kurt H. Riitters

    (US Department of Agriculture, Forest Service, Forest Health Monitoring Program, Research Triangle Park, North Carolina)

  • James Wickham

    (US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park, North Carolina)

Abstract

A fuzzy decision analysis method for integrating ecological indicators was developed. This was a combination of a fuzzy ranking method and the analytic hierarchy process (AHP). The method was capable of ranking ecosystems in terms of environmental conditions and suggesting cumulative impacts across a large region. Using data on land cover, population, roads, streams, air pollution, and topography of the Mid-Atlantic region, we were able to point out areas that were in relatively poor condition and/or vulnerable to future deterioration. The method offered an easy and comprehensive way to combine the strengths of fuzzy set theory and the AHP for ecological assessment. Furthermore, the suggested method can serve as a building block for the evaluation of environmental policies.

Suggested Citation

  • Liem T. Tran & C. Gregory Knight & Robert V. O'Neill & Elizabeth R. Smith & Kurt H. Riitters & James Wickham, 2002. "Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region1," Environmental Management, Springer, vol. 29(6), pages 845-859, June.
    • Handle: RePEc:spr:envman:v:29:y:2002:i:6:d:10.1007_s00267-001-2587-1
    DOI: 10.1007/s00267-001-2587-1
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