Picture fuzzy sets
- 2014
BC Cường
AUTOMATIC HEART DISEASE PREDICTION USING FEATURE SELECTION AND DATA MINING TECHNIQUE
Tập 34 Số 1 - 2018
LANG VAN TRAN, HUNG MINH LE, TOAN DINH TRAN
This paper presents an automatic Heart Disease (HD) prediction method based on
feature selection and data mining techniques using provided symptoms and
clinical information in the patient’s dataset. Data mining which allows the
extraction of hidden knowledges from the data and explores the relationship
between attributes, is the promising technique for HD prediction. HD symptoms
can be effectively... hiện toàn bộ
#Data mining #Heart Disease Prediction #Feature Selection #Classification
VLSP shared task: sentiment analysis
- 2018
HTM Nguyen, HV Nguyen, QT Ngo, LX Vu, VM Tran, BX Ngo, CA Le
THEORETICAL ANALYSIS OF PICTURE FUZZY CLUSTERING: CONVERGENCE AND PROPERTY
Tập 34 Số 1 - 2018
Pham Thi Minh Phuong
Recently, picture fuzzy clustering (FC-PFS) has been introduced as a new
computational intelligence tool for various problems in knowledge discovery and
pattern recognition. However, an important question that was lacked in the
related researches is examination of mathematical properties behind the picture
fuzzy clustering algorithm such as the convergence, the boundary or
the convergence rate, et... hiện toàn bộ
#Convergence analysis #picture fuzzy sets #picture fuzzy clustering.
Rough picture fuzzy set and picture fuzzy topologies
Tập 31 Số 3 - 2015
NX Thảo, NV Định
Approximation of a picture fuzzy set on a crisp approximation space gives a
rough picture fuzzy set. In this paper, the concept of a rough picture set is
introduced, besides, we also investigate some topological structures of a rough
picture fuzzy set are investigated, such are lower and upper rough picture fuzzy
approximation operators.
#Rough set #picture fuzzy set #rough picture fuzzy set #approximation operators #picture fuzzy topological space
Pythagorean Picture Fuzzy Sets, Part 1- basic notions
Tập 35 Số 4 - 2019
Bui Cong Cuong
Picture fuzzy set (2013) is a generalization of the Zadeh‟ fuzzy set (1965) and
the Antanassov‟intuitionistic fuzzy set. The new concept could be useful for
many computational intelligentproblems. Basic operators of the picture fuzzy
logic were studied by Cuong, Ngan [10,11 ].Newconcept –Pythagorean picture fuzzy
set ( PPFS) is a combination of Picture fuzzy set with theYager‟s Pythagorean
fuzzy s... hiện toàn bộ
#Keywords. Picture Fuzzy Set #Pythagorean Picture Fuzzy Set
Độ đo tính mờ, ánh xạ ngữ nghĩa định lượng và ứng dụng phương pháp lập luận xấp xỉ nội suy trong một hệ chuyên gia y tế.
Tập 18 Số 3 - Trang 237-252 - 2002
Trần Đình Khang, Nguyễn Cát Hồ, Lê Xuân Việt, Trần Thái Sơn
VLSP Shared Task: Named Entity Recognition
Tập 34 Số 4 - 2018
Hien T T Nguyen, Luong X Vu, Huyen T M Nguyen, Quyen T Ngo, Vu M Tran
Named entities (NE) are phrases that contain the names of persons,
organizations, locations, times and quantities, monetary values, percentages,
etc. Named Entity Recognition (NER) is the task of recognizing named entities in
documents. NER is an important subtask of Information Extraction, which has
attracted researchers all over the world since 1990s. For Vietnamese language,
although there exis... hiện toàn bộ
#CoNLL format #evaluation #named entity #named entity recognition #shared task #Vietnamese #VLSP workshop
Constructing a Bayesian belief network to generate learning path in adaptive hypermedia system.
- 2008
NV Anh, NV Ha, HS Dam
NEW DISSIMILARITY MEASURES ON PICTURE FUZZY SETS AND APPLICATIONS
Tập 34 Số 3 - 2018
Thao Xuan Nguyen, Nhung Thi Le, Dinh Van Nguyen, Chau Minh Ngoc
The dissimilarity measures between fuzzy sets/intuitionistic fuzzy sets/picture
fuzzy sets are studied and applied in various matters. In this paper, we propose
some new dissimilarity measures on picture fuzzy sets. This new dissimilarity
measures overcome the restrictions of all existing dissimilarity measures on
picture fuzzy sets. After that, we apply these new measures to the pattern
recogniti... hiện toàn bộ
#Picture fuzzy set #dissimilarity measure #MCDM