{"title":"Study of Landslide Prevention Schemes Options Using Probability Dom-inance Decision-Making Model","authors":"Fei Wang, Hui Zhang, Dongjun Li","doi":"10.56748/ejse.20241","DOIUrl":null,"url":null,"abstract":"Optimum selections of landslide scheme and scientific treatment are of great theoretical and practical importance to avoid or reduce the unnecessary loss of life and money. In this study, we shall first briefly introduce a Probability Dominance Decision-Making model to evaluate the effectiveness degree of landslide scheme considering the weights of relationship between decision attributes. Firstly, several meas-ured indicators of landslide control (Total Project Investment U1, Construction Difficulty U2, etc.) are selected as key impacting indicators to appraise alternative schemes correctly. Moreover, the attribute values of inter-val information for each landslide scheme is defined, and then the Attribute Dominance Relation is proposed to solve the index weights as well as the problem of unknown attribute weight in landslide control schemes. Next, the attribute weight values are ranked and picked by the dominance index relationship between the de-cision schemes and overall schemes. Simultaneously, this paper analyzed the probability decision making problem of using attribute value as Interval Number. In this procedure, we introduced the detailed derivation and analyzed the same and different points between the proposed model with the Deviation Maximization Al-gorithm. Finally, an example is given to illustrate the effectiveness and feasibility of the model.","PeriodicalId":52513,"journal":{"name":"Electronic Journal of Structural Engineering","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Structural Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56748/ejse.20241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Optimum selections of landslide scheme and scientific treatment are of great theoretical and practical importance to avoid or reduce the unnecessary loss of life and money. In this study, we shall first briefly introduce a Probability Dominance Decision-Making model to evaluate the effectiveness degree of landslide scheme considering the weights of relationship between decision attributes. Firstly, several meas-ured indicators of landslide control (Total Project Investment U1, Construction Difficulty U2, etc.) are selected as key impacting indicators to appraise alternative schemes correctly. Moreover, the attribute values of inter-val information for each landslide scheme is defined, and then the Attribute Dominance Relation is proposed to solve the index weights as well as the problem of unknown attribute weight in landslide control schemes. Next, the attribute weight values are ranked and picked by the dominance index relationship between the de-cision schemes and overall schemes. Simultaneously, this paper analyzed the probability decision making problem of using attribute value as Interval Number. In this procedure, we introduced the detailed derivation and analyzed the same and different points between the proposed model with the Deviation Maximization Al-gorithm. Finally, an example is given to illustrate the effectiveness and feasibility of the model.
期刊介绍:
The Electronic Journal of Structural Engineering (EJSE) is an international forum for the dissemination and discussion of leading edge research and practical applications in Structural Engineering. It comprises peer-reviewed technical papers, discussions and comments, and also news about conferences, workshops etc. in Structural Engineering. Original papers are invited from individuals involved in the field of structural engineering and construction. The areas of special interests include the following, but are not limited to: Analytical and design methods Bridges and High-rise Buildings Case studies and failure investigation Innovations in design and new technology New Construction Materials Performance of Structures Prefabrication Technology Repairs, Strengthening, and Maintenance Stability and Scaffolding Engineering Soil-structure interaction Standards and Codes of Practice Structural and solid mechanics Structural Safety and Reliability Testing Technologies Vibration, impact and structural dynamics Wind and earthquake engineering. EJSE is seeking original papers (research or state-of the art reviews) of the highest quality for consideration for publication. The papers will be published within 3 to 6 months. The papers are expected to make a significant contribution to the research and development activities of the academic and professional engineering community.