Evolutionary intelligence in asphalt pavement modeling and quality-of-information
| العنوان: | Evolutionary intelligence in asphalt pavement modeling and quality-of-information |
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| المؤلفون: | José Machado, Victor Alves, Jorge Ribeiro, José Neves, António Abelha, Paulo A. A. Pereira, Cesar Analide, Manuel Filipe Santos, Manuel Fernández-Delgado, Paulo Novais |
| المساهمون: | Universidade do Minho |
| المصدر: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| بيانات النشر: | Springer Science and Business Media LLC, 2012. |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Operations research, Knowledge representation and reasoning, Computer science, Computational intelligence, 02 engineering and technology, Machine learning, computer.software_genre, Task (project management), Artificial Intelligence, Argument, Complete information, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, An answer degree-of-confidence, Set (psychology), Evolutionary intelligence, 050210 logistics & transportation, Science & Technology, business.industry, 05 social sciences, Asphalt pavement modeling, Information quality, Quality-of-information, Qualitative reasoning, Extended logic programming, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer |
| الوصف: | he analysis and development of a novel approach to asphalt pavement modeling, able to attend the need to predict failure according to technical and non- technical criteria in a highway, is a hard task, namely in terms of the huge amount of possible scenarios. Indeed, the current state-of-the-art for service-life prediction is at empiric and empiric-mechanistic levels, and do not provide any suitable answer even for one single failure criteria. Consequently, it is imperative to achieve qualified models and qualitative reasoning methods, in particular due to the need to have first-class environments at our disposal where defective information is at hand. In order to fulfill this goal, this paper presents a dynamic and formal model oriented to fulfill the task of making predictions for multi-failure criteria, in particular in scenarios with incomplete information; it is an intelligence tool that advances according to the Quality-of- Information of the extensions of the predicates that model the universe of discourse. On the other hand, it is also considered the Degree-of-Confidence factor, a parameter that measures one`s confidence on the list of characteristics presented by an asphalt pavement, set in terms of the attributes or variables that make the argument of the predicates referred to above. The authors would like to thank the Foundation of Science and Technology (FCT), Portugal, for financial support received under the contract UTAustin/CA/0012/2008. |
| وصف الملف: | application/pdf |
| تدمد: | 2192-6360 2192-6352 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb5480dcc5931f9559b81fbfa75d64bTest https://doi.org/10.1007/s13748-011-0003-5Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0cb5480dcc5931f9559b81fbfa75d64b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21926360 21926352 |
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