المؤلفون: Jiajun Chen, Shuhao Yu, Wenjie Wei, Zhongrong Shi

المصدر: The Journal of Engineering (2019)

مصطلحات موضوعية: decision making, fuzzy set theory, rough set theory, information systems, decision theory, probability, granular computing, data mining, incomplete neighbourhood multigranulation decision-theoretic rough set, hybrid-valued decision system, data science, uncertainty, complex data, massive data, big data, uncertain data, inaccurate data, decision-theoretic rough set model, classical rough set model, analyse decision information systems, multigranulation dtrs, classical dtrs model, decision systems, hybrid-valued incomplete decision information systems, neighbourhood rough sets, numerical feature granularity, symbolic feature granularity, incomplete neighbourhood mg-dtrs model, neighbourhood granularity, incomplete neighbourhood systems, traditional dtrs model, neighbourhood multigranulation decision-theoretic set models, pessimistic neighbourhood mg-dtrss, optimistic neighbourhood mg-dtrss, decision-making problem, hybrid-valued incomplete information systems, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0846; https://doaj.org/toc/2051-3305

URL الوصول: https://doaj.org/article/0ddb8474249f4ff894925c9c5976942d