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Rank decision on Regional Environment Assessment Indicators Using Triangular Fuzzy Number - Focused on Ecosystem -

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2006, 15(6), pp.323-337
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

You Ju Han 1 JUNG SUNG GWAN 2 Kyung-Hun Park 3 김경태 4

1동국대학교
2경북대학교
3창원대학교
4부산교육대학교

Accredited

ABSTRACT

This study was carried out to offer the systematical and scientific method of regionalenvironment conservation by deciding the rank using fuzzy theory, and try to find themethodology to accurately accomplished the regional environment assessment for sound landconservation. The results were as follows.To transform the Likert’s scale granted to assessment indicators into the type of triangularfuzzy number (a, b, c), there was conversion to each minimum (a), median (b), and maximum(c) in applying membership function. We used the center of gravity and eigenvalue leading tothe rank.In the sequential analysis of rank-based test of assessment indicators by triangular fuzzynumber, the result proclaimed that ranking of the indicators was, in the biotic field, in the orderof ‘dominance’, ‘sociality’, ‘coverage’ and in the abiotic one, ‘soil pH’, ‘T-N’, ‘soil property’, andin the qualitative one, ‘impact rating class’, ‘hemeroby degree’, ‘land use pattern’, and in thefunctional one, ‘protection of water resource’, ‘offer of recreation’, ‘protection of soil erosion’.Therefore, there was a difference between subjective rank from human and the rank fromtriangular fuzzy number. In other words, the scientific rank decision would be not so muchCorresponding Author: Sung-Gwan Jung, Dept. of Landscape Architecture, Kyungpook National University, 1370 Sangyeok-dong, Daegu702-701, Korea Tel: 82-53-950-5783 Fax: 82-53-950-6779 E-mail: sgjung@knu.ac.kr

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