Research on MultHayer Fuzzy Synthetic Decision for Soft Ground Improvement Scheme of Highway
Zhang Liu-Jun, Xiaoming Huang, Yin Li-Hua
Abstract
Zhang Liu-Jun, Xiaoming Huang, Yin Li-Hua
Abstract
The decision making method for soft ground improvement scheme need to consider multiple factors, which include quantitative and non-quantitative factors, mainly consider the non-quantitative factor. Fuzzy theory and analytic hierarchy process £¨AHP£© are two practical methods that are utilized to analyze non-quantitative matters in systematic engineering. By taking advantages of the combination of fuzzy theory and AHP, the model of multi-layer fuzzy synthetic decision for soft ground improvement scheme of highway is put forward, so that the scheme optimization of soft ground improvement under the influence of Multiple factors is realized. A practical example is given to test and demonstrate the use of the model. The degree of membership of comment is determined by fuzzy theory, and the weight of influence factor is determined by AHP. The test results show that the decision making method is feasible.
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The decision making method for soft ground improvement scheme need to consider multiple factors, which include quantitative and non-quantitative factors, mainly consider the non-quantitative factor. Fuzzy theory and analytic hierarchy process £¨AHP£© are two practical methods that are utilized to analyze non-quantitative matters in systematic engineering. By taking advantages of the combination of fuzzy theory and AHP, the model of multi-layer fuzzy synthetic decision for soft ground improvement scheme of highway is put forward, so that the scheme optimization of soft ground improvement under the influence of Multiple factors is realized. A practical example is given to test and demonstrate the use of the model. The degree of membership of comment is determined by fuzzy theory, and the weight of influence factor is determined by AHP. The test results show that the decision making method is feasible.
Key concepts: Analytic hierarchy process, Fuzzy logic, Scheme (mathematics), Process (computing), Computer science, Mathematical optimization, Operations research, Fuzzy set