دانلود مقاله ISI انگلیسی شماره 46281
ترجمه فارسی عنوان مقاله

منطق فازی شهودی به عنوان ابزار برای ارزیابی فرآیندهای داده کاوی

عنوان انگلیسی
Intuitionistic fuzzy logics as tools for evaluation of Data Mining processes
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
46281 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Knowledge-Based Systems, Volume 80, May 2015, Pages 122–130

ترجمه کلمات کلیدی
هوش مصنوعی - داده کاوی - برآورد فازی شهودی - منطق فازی شهودی - مجموعه فازی شهودی
کلمات کلیدی انگلیسی
Artificial intelligence; Data Mining; Intuitionistic fuzzy estimation; Intuitionistic fuzzy logics; Intuitionistic fuzzy set
پیش نمایش مقاله
پیش نمایش مقاله  منطق فازی شهودی به عنوان ابزار برای ارزیابی فرآیندهای داده کاوی

چکیده انگلیسی

The Intuitionistic Fuzzy Sets (IFSs), proposed in 1983, are extensions of fuzzy sets. Some years after their introduction, sequentially, intuitionistic fuzzy propositional logic, intuitionistic fuzzy predicate logic, intuitionistic fuzzy modal logic and intuitionistic fuzzy temporal logic have been introduced, presented here shortly. During the last 25 years, different intuitionistic fuzzy tools have been used for evaluation of objects from the area of the Artificial Intelligence, as expert systems (having, e.g. facts and rules, with intuitionistic fuzzy degrees of validity and non-validity), decision making processes (having, e.g. intuitionistic fuzzy estimations of the criteria), neural networks, pattern recognitions, metaheuristic algorithms, etc. Short review of these legs of research is offered, with some concrete ideas of possible new directions of study. On this basis, a non-formal discussion is raised on the benefits of applying various elements of intuitionistic fuzzy logics as tools for evaluation of Data Mining processes.