Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning

YU Jing; ZHANG Wei

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YU Jing, ZHANG Wei. Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 96-100.

Citation:

YU Jing, ZHANG Wei. Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 96-100.

YU Jing, ZHANG Wei. Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 96-100.

Citation:

YU Jing, ZHANG Wei. Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 96-100.

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Multilevel-fuzziness-comprehensiveness evaluation model of waterway net planning

YU Jing,
ZHANG Wei

School of Traffic and Ocean Engineering, Hohai University, Nanjing 210098, China

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Author Bio:
Yu Jin(1980-), male, doctoral student, 86-25-83787991, yujinsjy@tom.com
Received Date: 2005-05-05
Publish Date: 2005-12-25

Abstract

Abstract

There are many subjective factors and their weights can not been reasonably decided in current evaluation model for waterway net planning. Based on analyzing various factors affecting waterway net planning, a kind of multiobject and multi-layer fuzzy model for comprehensive assessment was proposed. Combined with AHP, the weights of the assessment indices were determined. With statistical method of fuzziness, the membership grades of non-quantitative indices were determined. The benefit index, the neutral index and the cost index were applied to define the memberships of quantitative indices. The evaluation result for Suzhou waterway net planning indicates that the model can provide quantitative indices of waterway net actual case objectively and evaluate the waterway net planning accurately.
- waterway engineering,
- waterway net planning,
- analytical hierarchy process method,
- index system,
- multilevel fuzzy assessment

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References(9)

References

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