کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4944976 | 1438018 | 2016 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Concept lattices with negative information: A characterization theorem
ترجمه فارسی عنوان
مفهوم شبکه با اطلاعات منفی: یک قضیه خصوصیات
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Classical Formal Concept Analysis (FCA) extracts, represents and manages knowledge from positive information, i.e., its fundamental data model is a binary relation between a set of objects and attributes indicating the presence of a property in an object. However, some applications require to treat the absence of some property in an object as a negative information to be explicitly represented and managed, too. Although mixed (positive and negative) information has been addressed in the past in FCA, such approaches maintain the standard framework, which hides the specific semantics and avoids the further use of direct techniques and methods for mixed information. In this work, the foundations of FCA are extended and, in particular, mixed concept lattices are studied in depth. The main result of this work is a characterization theorem specifying in lattice-theoretic terms which lattices are isomorphic to a mixed concept lattice.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 369, 10 November 2016, Pages 51-62
Journal: Information Sciences - Volume 369, 10 November 2016, Pages 51-62
نویسندگان
J.M. Rodriguez-Jimenez, P. Cordero, M. Enciso, S. Rudolph,