Browsing by Author "Zhang, Haiqing"
Now showing items 1-20 of 25
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A Fitted Fuzzy-rough Method for Missing Data Imputation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ... -
A novel approach to assess the products' global environmental impacts by considering pollution transfer phenomena
( Inderscience Enterprises Ltd. , 2014 , Article)As environmental issues become more serious, governments and customers are more sensitive about the environmental impacts which are produced by products. Many methods have been proposed to assess environmental impacts. The ... -
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ... -
A PLM components monitoring framework for SMEs based on a PLM maturity model and FAHP methodology
( Mundo Press , 2014 , Article)Right PLM components selection and investments increase business advantages. This paper develops a PLM components monitoring framework to assess and guide PLM implementation in small and middle enterprises (SMEs). The ... -
A Prediction Framework for Lifestyle-Related Disease Prediction Using Healthcare Data
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)With the improvement of living standards and changes in work habits caused by industrialization, the prevalence of diseases related to lifestyle is rising. In this context, the prevention of lifestyle-related diseases ... -
A review on missing values for main challenges and methods
( Elsevier , 2023 , Article Review)Several recent reviews summarize common missing value analysis methods. However, none of them provide a systematic and in-depth summary of the analytical challenges and solutions for dealing with missing values. For the ... -
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data
( Elsevier , 2023 , Article)As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ... -
An Improvement of Support Vector Machine Imputation Algorithm Based on Multiple Iteration and Grid Search Strategies
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Data missing is a vitally important issue that influences the classification results in medical field. This paper proposes an improved support vector machine (SVM) imputation algorithm by using strategies of pre-imputation, ... -
Customer reviews analysis based on information extraction approaches
( Springer New York LLC , 2016 , Conference)The existing information extraction approaches are generally analyzed and then categorized into several groups based on the superiority and the intelligence of the approaches as well as their capability to solve complex ... -
Deep learning and cultural heritage: The CEPROQHA project case study
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly ... -
Deep learning-based automatic analysis of legal contracts: a named entity recognition benchmark
( Springer Science and Business Media Deutschland GmbH , 2024 , Article)Entity recognition and extraction from contracts play a crucial role in automating contract analysis and extracting valuable information. Named Entity Recognition (NER) techniques are used for identifying and classifying ... -
Deriving consistent pairwise comparison matrices in decision making methodologies based on linear programming method
( IOS Press , 2014 , Article)Pairwise comparison matrix (PCM) with crisp or fuzzy elements should satisfy consistency requirements when it is used in analytic hierarchy process (AHP) or in fuzzy AHP methodologies. An algorithm has been presented to ... -
Digital heritage enrichment through artificial intelligence and semanticweb technologies
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ... -
Fuzzy multi-criteria lifecycle system maturity decision making based on an integrated Fuzzy AHP and VIKOR methodology
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)A wide range of maturity models for product lifecycle management are proposed to assess the relative position of companies on their road to complete lifecycle systems' implementation. However, it is a tough job for the ... -
Hesitant extension of fuzzy-rough set to address uncertainty in classification
( IOS Press , 2018 , Article)Although fuzzy rough sets have been considered as a powerful theory to handle real-valued data with uncertainty, fuzzy rough sets based algorithms reached their limit of conveying hesitation information in the processes ... -
Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly ... -
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ... -
Identifying opinion mining elements based on dependency relations and fuzzy logic
( CSREA Press , 2019 , Conference)Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relations. Although many works are emerged to ... -
Investigating low-delay deep learning-based cultural image reconstruction
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference)Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ... -
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
( Elsevier Ltd , 2016 , Article)Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relations. Although many works have emerged to ...
