检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

24 篇 会议
4 篇 期刊文献

馆藏范围

28 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

6 篇 工学
- 5 篇 软件工程
- 3 篇 机械工程
- 3 篇 计算机科学与技术...
- 1 篇 控制科学与工程
3 篇 理学
- 3 篇 数学
- 3 篇 统计学（可授理学、...
1 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理

主题

12 篇 fuzzy sets
10 篇 uncertainty
8 篇 fuzzy logic
6 篇 decision making
5 篇 frequency select...
4 篇 fuzzy systems
4 篇 standards
3 篇 particle measure...
3 篇 feature extracti...
3 篇 time series anal...
3 篇 atmospheric meas...
3 篇 data models
2 篇 surveys
2 篇 knowledge based ...
2 篇 reliability
2 篇 current measurem...
2 篇 libraries
2 篇 noise measuremen...
2 篇 education
2 篇 machine learning

机构

7 篇 lab for uncertai...
3 篇 lab for uncertai...
2 篇 nottingham unive...
2 篇 lab for uncertai...
2 篇 lab for uncertai...
1 篇 information scho...
1 篇 college of compu...
1 篇 the university o...
1 篇 department of co...
1 篇 dept. electrical...
1 篇 department of co...
1 篇 intelligent mode...
1 篇 school of chemis...
1 篇 institute for so...
1 篇 carnegie mellon ...
1 篇 intelligent mode...
1 篇 human factors re...
1 篇 independent rese...
1 篇 computational op...
1 篇 de montfort univ...

作者

18 篇 christian wagner
7 篇 jonathan m. gari...
6 篇 direnc pekaslan
4 篇 wagner christian
3 篇 te zhang
3 篇 josie mcculloch
2 篇 jingda ying
2 篇 c. wagner
2 篇 r. ashford
2 篇 shaily kabir
2 篇 l. green
2 篇 isaac triguero
2 篇 robert john
2 篇 j. navarro
2 篇 ellerby zack
2 篇 amir pourabdolla...
2 篇 u. aickelin
1 篇 craigon peter j.
1 篇 svetlin isaev
1 篇 nicholas j. wats...

语言

28 篇 英文

检索条件"机构=Lab for Uncertainty in Data and Decision Making"

共 28 条记录，以下是21-30 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Christian Wagner Amir Pourabdollah Josie McCulloch Robert John Jonathan M. Garibaldi Lab for Uncertainty in Data and Decision Making (LUCID) University of Nottingham Nottingham UK

ISBN: (纸本)9781509006274

In non-singleton fuzzy logic systems (NSFLSs) input uncertainties are modelled with input fuzzy sets in order to capture input uncertainty such as sensor noise. The performance of NSFLSs in handling such uncertainties depends both on the actual input fuzzy sets (and their inherent model of uncertainty) and on the way that they affect the inference process. This paper proposes a novel type of NSFLS by replacing the composition-based inference method of type-1 fuzzy relations with a similarity-based inference method that makes NSFLSs more sensitive to changes in the input's uncertainty characteristics. The proposed approach is based on using the Jaccard ratio to measure the similarity between input and antecedent fuzzy sets, then using the measured similarity to determine the firing strength of each individual fuzzy rule. The standard and novel approaches to NSFLSs are experimentally compared for the well-known problem of Mackey-Glass time series predictions, where the NSFLS's inputs have been perturbed with different levels of Gaussian noise. The experiments are repeated for system training under both noisy and noise-free conditions. Analyses of the results show that the new method outperforms the standard approach by substantially reducing the prediction errors.

关键词： uncertainty Fuzzy sets Frequency selective surfaces Standards Fuzzy logic Time series analysis Noise measurement

来源：评论

学校读者我要写书评

暂无评论

Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal secondary membership functions

Measuring the similarity between zSlices general type-2 fuzz...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Josie McCulloch Christian Wagner Lab for Uncertainty in Data and Decision Making (LUCID) and Horizon University of Nottingham Nottingham UK

ISBN: (纸本)9781509006274

This paper presents a method of measuring the similarity between general type-2 fuzzy sets that may have non-normal secondary membership functions. Such fuzzy sets are increasingly common in applications such as the modelling of the subjective meaning of linguistic terms by groups of people. By building upon existing similarity measures in the literature, which thus far cannot compare such fuzzy sets, we derive an extended similarity measure which can be applied to both normal and non-normal (in terms of the secondary membership functions) general type-2 fuzzy sets. We provide proofs that the proposed method follows all of the common properties of a similarity measure and demonstrations are given to compare the proposed method with others in the literature.

关键词： Fuzzy sets uncertainty Current measurement Measurement uncertainty Fuzzy set theory Shape decision making

来源：评论

学校读者我要写书评

暂无评论

An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS

An exploration of issues and limitations in current methods ...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Elissa Nadia Madi Jonathan M. Garibaldi Christian Wagner Lab for Uncertainty in Data and Decision Making (LUCID) and IMA Research Group University of Nottingham UK

ISBN: (纸本)9781509006274

Multi Criteria decision making is a challenging but vital process for organizations. One of the best-known techniques to support Multi-Criteria decision making is the `Technique for Order Preference by Similarity to Ideal Solution' (TOPSIS) approach. In recent years, a variety of extensions, including fuzzy extensions of TOPSIS have been proposed. Besides the many variations of standard TOPSIS, one family of extensions employing fuzzy sets is referred to as fuzzy TOPSIS (FTOPSIS). One challenge that has arisen is that it is not straightforward to choose between the multiple variants of TOPSIS existing today. Previously, none of the papers that have compared the key differences between standard and fuzzy TOPSIS have fully explored each of the step-wise stages. In this paper, we now provide a detailed comparison of these key stages in a systematic stepwise manner, clearly highlighting differences. We also identify and discuss the limitations, issues and challenges which exist in the present FTOPSIS method. The crucial and main issues are identified as relating to concepts of reliability, truth and meaning. Having identified these conceptual issues, we then go on to highlight what we argue to be the main issue, that of reliability, to discuss further. We proceed to present a potential solution and propose a framework to address the issue. This study will provide guidelines to researchers in this field and to provide potential pathways to further solutions, which have the capacity to advance the area of FTOPSIS as a whole.

关键词： decision making Reliability Standards Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Exploring differences in interpretation of words essential in medical expert-patient communication

Exploring differences in interpretation of words essential i...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： J. Navarro C. Wagner U. Aickelin L. Green R. Ashford Lab for Uncertainty in Data and Decision Making (LUCID) and Horizon University of Nottingham UK The University of Nottingham Ningbo Nottingham University Hospitals UK

ISBN: (纸本)9781509006274

In the context of cancer treatment and surgery, quality of life assessment is a crucial part of determining treatment success and viability. In order to assess it, patient-completed questionnaires which employ words to capture aspects of patients well-being are the norm. As the results of these questionnaires are often used to assess patient progress and to determine future treatment options, it is important to establish that the words used are interpreted in the same way by both patients and medical professionals. In this paper, we capture and model patients perceptions and associated uncertainty about the words used to describe the level of their physical function used in the highly common (in Sarcoma Services) Toronto Extremity Salvage Score (TESS) questionnaire. The paper provides detail about the interval-valued data capture as well as the subsequent modelling of the data using fuzzy sets. Based on an initial sample of participants, we use Jaccard similarity on the resulting words models to show that there may be considerable differences in the interpretation of commonly used questionnaire terms, thus presenting a very real risk of miscommunication between patients and medical professionals as well as within the group of medical professionals.

关键词： uncertainty Surgery Frequency selective surfaces data models Extremities Context Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Measuring agreement on linguistic expressions in medical treatment scenarios

Measuring agreement on linguistic expressions in medical tre...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： J. Navarro C. Wagner U. Aickelin L. Green R. Ashford Lab for Uncertainty in Data and Decision Making (LUCID) and Horizon University of Nottingham Nottingham UK Institute of Computing & Cybersystems Michigan Technological University University of Nottingham Ningbo China Nottingham University Hospitals UK

ISBN: (纸本)9781509042418

Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients' perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed questionnaires are often used to assess patient status and determine future treatment options, it is important to know the level of agreement of the words used by patients and different groups of medical professionals. In this paper, we propose a measure called the Agreement Ratio which provides a ratio of overall agreement when modelling words through Fuzzy Sets (FSs). The measure has been specifically designed for assessing this agreement in fuzzy sets which are generated from data such as patient responses. The measure relies on using the Jaccard Similarity Measure for comparing the different levels of agreement in the FSs generated. Synthetic examples are provided in order to show how to calculate the measure for given Fuzzy Sets. An application to real-world data is provided as well as a discussion about the results and the potential of the proposed measure.

关键词： Frequency selective surfaces uncertainty Stakeholders Fuzzy sets Atmospheric measurements Particle measurements Extremities

来源：评论

学校读者我要写书评

暂无评论

A comparative study on the control of quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers

A comparative study on the control of quadcopter UAVs by usi...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Changhong Fu Andriy Sarabakha Erdal Kayacan Christian Wagner Robert John Jonathan M. Garibaldi School of Mechanical and Aerospace Engineering Nanyang Technological University (NTU) Singapore Nanyang Technological University Singapore Singapore SG Lab for Uncertainty in Data and Decision Making (LUCID) University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9781509006274

Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mathematical system model which is often either unavailable or highly costly to develop. Despite the fact that non-singleton FLCs (NSFLCs) have shown more promising performance in several applications when compared to their singleton counterparts (SFLCs), most of UAV applications are still realized by using SFLCs. In this paper, we explore the potential of both standard and the recently introduced centroid based NSFLCs, i.e., Sta-NSFLC and Cen-NSFLC, for the control of a quadcopter UAV under various input noise conditions using different levels of fuzzifier, and a comparative study has been conducted using the three aforementioned FLCs. We present a series of simulation-based experiments, the simulation results show that the control performances of NSFLCs are better than those of SFLC, and the Cen-NSFLC outperforms the Sta-NSFLC especially under highly noisy conditions.

关键词： uncertainty Mathematical model Standards Unmanned aerial vehicles Propellers Engines Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Linking human and machine - towards consumer-driven automated manufacturing

Linking human and machine - towards consumer-driven automate...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Svetlin Isaev Chralampos Makatsoris Mohannad Jressiat Christian Wagner Sustainable Manufacturing Systems Centre School of Aerospace Transportation and Manufacturing Cranfield University Bedford UK College of Engineering Design and Physical Sciences Brunel University London UK Lab for Uncertainty in Data And Decision Making (LUCID) & Horizon Nottingham UK

ISBN: (纸本)9781509006274

In this paper we establish a link between linguistic descriptors describing food preferences and product manufacturing processes. We show how this is achieved using a model-based methodology that translates consumer preferences into product and process specifications. The ultimate goal is the large scale personalization of formulated food product manufacture where consumers are also the co-creators of the food products they wish to buy. Firstly, we investigate how those sensory attributes for such products can map onto product and process specifications. Fuzzy set modelling is used to capture the preferences and perception for these attributes by different groups of people. Specifically, type-1 fuzzy sets are generated from interval-valued survey data for the linguistic descriptors (i.e., thin, thick, smooth, pulpy) and the sensory indicators (i.e., smoothness, roughness and orange flavor) that describe how consumers perceive and select orange based beverages. Then, the models are employed to establish the links between such product attributes and the actual formulation parameters to make the product. We demonstrate the manufacture of the desired orange beverage that emerged from the modelling approach by deploying the process parameters, which map onto those descriptors, on the controller of a continuous food formulation system which was selected due to its flexibility and its computer controller that provides the ability to redeploy new formulation specifications rapidly. With this overall methodology we demonstrate for the first time the digital, on-demand manufacture of soft beverages with targeted attributes, selected directly by a consumer group.

关键词： Fuzzy sets Atmospheric measurements Particle measurements data models Viscosity Food products

来源：评论

学校读者我要写书评

暂无评论

Improving security requirements adequacy

Improving security requirements adequacy

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Hanan Hibshi Travis D. Breaux Christian Wagner Institute for Software Research Carnegie Mellon University Pittsburgh Pennsylvania USA College of Computing King Abdul-Aziz University Jeddah Saudi Arabia Institute of Computing & Cyber Systems Michigan Technological University Houghton Michigan USA Lab for Uncertainty in Data and Decision Making University of Nottingham Nottingham UK

ISBN: (纸本)9781509042418

Organizations rely on security experts to improve the security of their systems. These professionals use background knowledge and experience to align known threats and vulnerabilities before selecting mitigation options. The substantial depth of expertise in any one area (e.g., databases, networks, operating systems) precludes the possibility that an expert would have complete knowledge about all threats and vulnerabilities. To begin addressing this problem of fragmented knowledge, we investigate the challenge of developing a security requirements rule base that mimics multi-human expert reasoning to enable new decision-support systems. In this paper, we show how to collect relevant information from cyber security experts to enable the generation of: (1) interval type-2 fuzzy sets that capture intra- and inter-expert uncertainty around vulnerability levels; and (2) fuzzy logic rules driving the decision-making process within the requirements analysis. The proposed method relies on comparative ratings of security requirements in the context of concrete vignettes, providing a novel, interdisciplinary approach to knowledge generation for fuzzy logic systems. The paper presents an initial evaluation of the proposed approach through 52 scenarios with 13 experts to compare their assessments to those of the fuzzy logic decision support system. The results show that the system provides reliable assessments to the security analysts, in particular, generating more conservative assessments in 19% of the test scenarios compared to the experts' ratings.

关键词： Security uncertainty Fuzzy logic Fuzzy sets Frequency selective surfaces Pragmatics Reliability

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共3页 << < 1 2 3 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：