Title :
Decision-making of landslide treatment schemes using identical degree of set pair analysis
Author :
Wang Mingwu ; Li, Li ; Jin Juliang
Author_Institution :
Hefei Univ. of Technol., Hefei, China
Abstract :
Decision-making of landslide treatment schemes is a complex system problem. Basing on information entropy theory and set pair analysis theory, a decision-making model using a concept of approaching degree is described to select a best treatment scheme for landslide disaster in this paper. For each evaluation index, identical degree of set pair between the evaluated scheme and the best scheme is calculated, and then the approaching degree between the optimum scheme and each scheme is specified to optimization. And a method used to integrate weights of evaluation indexes is discussed to mining information of evaluated scheme and expert´s experiences. Moreover, a practical example was conducted to confirm the feasibility of this model. The results and comparison with fuzzy optimization method show that this proposed method is feasible, easy and effective to select the best treatment scheme, and capable to improve the reliability of decision-making. It also provides a reference method for the decision-making of other project schemes.
Keywords :
data mining; decision making; decision theory; disasters; entropy; fuzzy set theory; geology; large-scale systems; optimisation; complex system problem; decision-making model; evaluation index; fuzzy optimization method; geological problem; information entropy theory; information mining; landslide disaster; landslide treatment scheme; optimum scheme; project scheme; set pair analysis theory; set pair identical degree; Decision making; Geology; Information analysis; Information entropy; Joining processes; Optimization methods; Railway engineering; Reliability engineering; Terrain factors; Uncertainty; Decision-making; Information entropy; Landslide; Set pair analysis; Treatment;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191864