Search results for: Xiuqin Ma

Items from 1 to 20 out of 26 results

article

Two-Step Pretreatment of Corn Stover Silage Using Non-ionic Surfactant and Ferric Nitrate for Enhancing Sugar Recovery and Enzymatic Digestibility of Cellulose

Youshan Sun, Xudong Gong, Zhiqiang Wang, Chao Huang, more

Applied Biochemistry and Biotechnology > 2019 > 189 > 1 > 65-75

Corn stover silage (CSS) is regarded as a promising feedstock for bioethanol production. The two-step pretreatment using a sequential non-ionic surfactant and ferric nitrate pretreatment was investigated for improving the enzymatic hydrolysis of CSS. The first-step pretreatment using non-ionic surfactant (Tween-80, 2.0 wt.%) at 60 °C for 60 min achieved 30.48% the removal of lignin. Compared with...

article

A new method to predict hospital mortality in severe community acquired pneumonia

Xin Wang, Jianlong Jiao, Rongwei Wei, Yongli Feng, more

European Journal of Internal Medicine > 2017 > 40 > C > 56-63

The aim of this study is to develop a new method that is able to accurately predict the 28day hospital mortality in patients with severe community acquired pneumonia (SCAP) at an early stage.We selected 37,348 SCAP patients in ICU from 173 hospitals during 2011.1–2013.12. The predictive factors for 28day hospital mortality were evaluated retrospectively. All cases underwent intensive care, blood routine,...

chapter

A Soft Set Model on Information System and Its Application in Clustering Attribute Selection

Hongwu Qin, Xiuqin Ma, Jasni Mohamad Zain, Norrozila Sulaiman, more

Communications in Computer and Information Science > Software Engineering and Computer Systems > Information and Data Management > 16-27

In this paper, we define a soft set model on the set of equivalence classes in an information system, which can be easily applied to obtaining approximation sets of rough set. Furthermore, we use it to select clustering attribute for categorical data clustering and a heuristic algorithm is presented. Experiment results on UCI benchmark data sets show that the proposed approach provides faster decision...

chapter

An Adjustable Approach to Interval-Valued Intuitionistic Fuzzy Soft Sets Based Decision Making

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain

Lecture Notes in Computer Science > Intelligent Information and Database Systems > Rough Set Based and Fuzzy Set Based Systems > 80-89

Research on soft set based decision making has received much attention in recent years. Feng et al. presented an adjustable approach to fuzzy soft sets based decision making by using level soft set, and subsequently extended the approach to interval-valued fuzzy soft set based decision making. Jiang et al. generalize the approach to solve intuitionistic fuzzy soft sets based decision making. In this...

chapter

Data Filling Approach of Soft Sets under Incomplete Information

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain

Lecture Notes in Computer Science > Intelligent Information and Database Systems > Multiple Model Approach to Machine Learning (MMAML 2011) > 302-311

Incomplete information in a soft set restricts the usage of the soft set. To make the incomplete soft set more useful, in this paper, we propose a data filling approach for incomplete soft set in which missing data is filled in terms of the association degree between the parameters when stronger association exists between the parameters or in terms of the probability of objects appearing in the mapping...

chapter

An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction

Xiuqin Ma, Norrozila Sulaiman

Lecture Notes in Computer Science > Rough Sets, Fuzzy Sets, Data Mining and Granular Computing > Compound Values > 211-214

Soft set theory in combination with the interval-valued fuzzy set has been proposed as the concept of the interval-valued fuzzy soft set. However, up to the present, few documents have focused on parameter reduction of the interval-valued fuzzy soft sets. In this paper, we propose a definition of normal parameter reduction of interval-valued fuzzy soft sets, which considers the problems of sub-optimal...

chapter

A Novel Normal Parameter Reduction Algorithm of Soft Sets

Xiuqin Ma, Norrozila Sulaiman, Hongwu Qin, Tutut Herawan

Advances in Intelligent and Soft Computing > Soft Computing in Industrial Applications > Part IV: Soft Computing for Modeling, Control, and Optimization > 221-229

In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the oriented-parameter sum, which can be carried out without parameter important degree and decision partition. We present some new related definitions and proved theorems of normal parameter reduction. The comparison result on a Boolean-valued dataset shows that, the proposed algorithm involves relatively...

chapter

A Mean Mutual Information Based Approach for Selecting Clustering Attribute

Hongwu Qin, Xiuqin Ma, Jasni Mohamad Zain, Norrozila Sulaiman, more

Communications in Computer and Information Science > Software Engineering and Computer Systems > Information and Data Management > 1-15

Rough set theory based attribute selection clustering approaches for categorical data have attracted much attention in recent years. However, they have some limitations in the process of selecting clustering attribute. In this paper, we analyze the limitations of three rough set based approaches: total roughness (TR), min-min roughness (MMR) and maximum dependency attribute (MDA), and propose a mean...

chapter

A QoS and Consumer Personality Considered Services Discovery

Xiuqin Ma, Norrozila Sulaiman, Hongwu Qin

Communications in Computer and Information Science > Networked Digital Technologies > Web Services/Semantics > 357-363

How to dynamically find web services which best meet the requirement of consumers from the massive services is an ongoing research direction. In this paper, we propose a Quality of Service (QoS) and Consumer Personality Considered services Discovery (QSCPCD) mechanism, which complements the existing service discovery. QSCPCD is a consumer-oriented service discovery mechanism, which builds at the side...

chapter

Road Region Extraction Based on Motion Information and Seeded Region Growing for Foreground Detection

Hongwu Qin, Jasni Mohamad Zain, Xiuqin Ma, Tao Hai

Communications in Computer and Information Science > Networked Digital Technologies > Information and Data Management > 128-134

This paper proposes a road region extraction method based on the motion information of foreground objects and seeded region growing (SRG) algorithm. By learning on a training set of a scene over a period of time, we get the trajectory of moving object, then use SRG algorithm in which the trajectory is used as seed to extract road region. As a result, instead of detecting foreground objects in a conventional...

chapter

The Normal Parameter Value Reduction of Soft Sets and Its Algorithm

Xiuqin Ma, Norrozila Sulaiman

Communications in Computer and Information Science > Software Engineering and Computer Systems > Information and Data Management > 148-156

Some work has been done to such issues concerning parameter reduction of soft sets. However, up to the present, few documents have focused on parameter value reduction of soft sets. In this paper, we introduce the definition of normal parameter value reduction (NPVR) of soft sets which can overcome the problem of suboptimal choice and added parameter values. More specifically, minimal normal parameter...

chapter

Applications of Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem

Xiuqin Ma, Norrozila Sulaiman, Mamta Rani

Communications in Computer and Information Science > Software Engineering and Computer Systems > Algorithms > 642-651

Soft set theory in combination with the interval-valued intuitionistic fuzzy set has been proposed as the concept of the interval-valued intuitionistic fuzzy soft set. However, up to the present, few documents have focused on practical applications of the interval-valued fuzzy intuitionistic soft sets. In this paper, Firstly, we present the algorithm to solve decision making problems based on interval-valued...

chapter

QoS-Aware Web Services Selection with Interval-Valued Intuitionistic Fuzzy Soft Sets

Xiuqin Ma, Norrozila Sulaiman, Mamta Rani

Communications in Computer and Information Science > Software Engineering and Computer Systems > Web Engineering > 259-268

With the increasing popularity of the development of service-oriented applications, it is imperative to measure the quality of services (QoS) for service consumers and providers. To find the most suitable service for different consumers, the QoS nonfunctional attribute will become an important factor in web service selection. However, non-functional QoS properties rely heavily on the subjective perceptions...

chapter

A survey of query expansion, query suggestion and query refinement techniques

Jessie Ooi, Xiuqin Ma, Hongwu Qin, Siau Chuin Liew

2015 4th International Conference on Software Engineering and Computer Systems (ICSECS) > 112 - 117

2015 4th International Conference on Software Engineering and Computer Systems (ICSECS)

The ineffectiveness of information retrieval systems often caused by the inaccurate use of keywords in a query. In order to solve the ineffectiveness problem in information retrieval systems, many solutions have been proposed over the years. The most common techniques are revolving around query modification techniques such as query expansion, query refinement, etc. Due to the high similarity in these...

article

MGR: An information theory based hierarchical divisive clustering algorithm for categorical data

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain

Knowledge-Based Systems > 2014 > 67 > Complete > 401-411

Categorical data clustering has attracted much attention recently due to the fact that much of the data contained in today’s databases is categorical in nature. While many algorithms for clustering categorical data have been proposed, some have low clustering accuracy while others have high computational complexity. This research proposes mean gain ratio (MGR), a new information theory based hierarchical...

article

The Parameter Reduction of the Interval-Valued Fuzzy Soft Sets and Its Related Algorithms

Xiuqin Ma, Hongwu Qin, Norrozila Sulaiman, Tutut Herawan, more

IEEE Transactions on Fuzzy Systems > 2014 > 22 > 1 > 57 - 71

There has been a rapid growth of interest in developing approaches that are capable of dealing with imprecision and uncertainty. To this end, an interval-valued fuzzy soft set (IVFSS) that combines soft set theory with interval-valued fuzzy set theory has been proposed to handle imprecision and uncertainty in applications such as decision-making problems. However, there has been little focus on parameter...

article

Property of the PVC Dust Collecting Plate Used in Wet Membrane Electrostatic Precipitator

Chao Huang, Xiuqin Ma, Meiyan Wang, Youshan Sun, more

IEEE Transactions on Plasma Science > 2014 > 42 > 11 > 3520 - 3528

This paper investigates the water distribution performance, discharging characteristics, and dust collecting efficiency of a wet membrane electrostatic precipitator, in which the collecting electrode is made of polyvinyl chloride (PVC) grooved plate. The film ratio of each horizontal-grooved plate is higher than the untreated PVC plate, and increases with the increase of groove depth and width under...

article

A novel soft set approach in selecting clustering attribute

Hongwu Qin, Xiuqin Ma, Jasni Mohamad Zain, Tutut Herawan

Knowledge-Based Systems > 2012 > 36 > Complete > 139-145

Clustering is one of the most useful tasks in data mining process for discovering groups and identifying interesting distributions and patterns in the underlying data. One of the techniques of data clustering was performed by introducing a clustering attribute. Soft set theory, initiated by Molodtsov in 1999, is a new general mathematical tool for dealing with uncertainties. In this paper, we define...

article

DFIS: A novel data filling approach for an incomplete soft set

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Zain

International Journal of Applied Mathematics and Computer Science > 2012 > 22 > 4 > 817-828

The research on incomplete soft sets is an integral part of the research on soft sets and has been initiated recently. However, the existing approach for dealing with incomplete soft sets is only applicable to decision making and has low forecasting accuracy. In order to solve these problems, in this paper we propose a novel data filling approach for incomplete soft sets. The missing data are filled...

article

DFIS: A novel data filling approach for an incomplete soft set

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Zain

International Journal of Applied Mathematics and Computer Science > 2012 > 22 > 4 > 817-828

Publication date

Set your own date range

INFONA - science communication portal

Search results for: Xiuqin Ma

Two-Step Pretreatment of Corn Stover Silage Using Non-ionic Surfactant and Ferric Nitrate for Enhancing Sugar Recovery and Enzymatic Digestibility of Cellulose

A new method to predict hospital mortality in severe community acquired pneumonia

A Soft Set Model on Information System and Its Application in Clustering Attribute Selection

An Adjustable Approach to Interval-Valued Intuitionistic Fuzzy Soft Sets Based Decision Making

Data Filling Approach of Soft Sets under Incomplete Information

An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction

A Novel Normal Parameter Reduction Algorithm of Soft Sets

A Mean Mutual Information Based Approach for Selecting Clustering Attribute

A QoS and Consumer Personality Considered Services Discovery

Road Region Extraction Based on Motion Information and Seeded Region Growing for Foreground Detection

The Normal Parameter Value Reduction of Soft Sets and Its Algorithm

Applications of Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem

QoS-Aware Web Services Selection with Interval-Valued Intuitionistic Fuzzy Soft Sets

A survey of query expansion, query suggestion and query refinement techniques

MGR: An information theory based hierarchical divisive clustering algorithm for categorical data

The Parameter Reduction of the Interval-Valued Fuzzy Soft Sets and Its Related Algorithms

Property of the PVC Dust Collecting Plate Used in Wet Membrane Electrostatic Precipitator

A novel soft set approach in selecting clustering attribute

DFIS: A novel data filling approach for an incomplete soft set

DFIS: A novel data filling approach for an incomplete soft set

Filter options

Publication date

Publication type

Keywords

Data set

Journal

INFONA - science communication portal

Search results for: Xiuqin Ma

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options