| contributor author | Hari Krishan Koduru | |
| contributor author | Feipeng Xiao | |
| contributor author | Serji N. Amirkhanian | |
| contributor author | C. Hsein Juang | |
| date accessioned | 2017-05-08T21:05:17Z | |
| date available | 2017-05-08T21:05:17Z | |
| date copyright | February 2010 | |
| date issued | 2010 | |
| identifier other | %28asce%290733-947x%282010%29136%3A2%28149%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38165 | |
| description abstract | Fuzzy logic and expert system techniques are effective in evaluating the flexible pavement distress. Distress classification has usually been performed by visual inspection of the surface of the pavement or from the data gathered by automated distress measuring equipment. Consistency in this process can be increased and subjectivity is minimized by using an expert system. A methodology has been developed that uses fuzzy logic for the categorization of distresses. An expert system was developed in | |
| publisher | American Society of Civil Engineers | |
| title | Using Fuzzy Logic and Expert System Approaches in Evaluating Flexible Pavement Distress: Case Study | |
| type | Journal Paper | |
| journal volume | 136 | |
| journal issue | 2 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(2010)136:2(149) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 002 | |
| contenttype | Fulltext | |
