2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献_第9页

Using fuzzy logic for improving clinical daily-care of β-thalassemia patients 应用模糊逻辑改进β-地中海贫血患者临床日常护理

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015545

Stefania Santini, A. Pescapé, A. S. Valente, V. Abate, G. Improta, M. Triassi, P. Ricchi, A. Filosa

引用次数: 26

A novel complexity reduced Levenberge-Marquardt algorithm: Application to the training of interval type-2 fuzzy systems 一种新的降低复杂度的Levenberge-Marquardt算法:在区间2型模糊系统训练中的应用

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015737

M. A. Khanesar, E. Kayacan

引用次数: 1

Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution 基于均匀噪声分布的fcm型共聚类噪声抑制方案

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015559

N. Yamamoto, Katsuhiro Honda, S. Ubukata, A. Notsu

引用次数: 1

A first approach to a fuzzy classification system for age estimation based on the pubic bone 基于耻骨的年龄估计模糊分类系统的初步研究

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015760

P. Villar, I. Alemán, L. Castillo, S. Damas, O. Cordón

{"title":"A first approach to a fuzzy classification system for age estimation based on the pubic bone","authors":"P. Villar, I. Alemán, L. Castillo, S. Damas, O. Cordón","doi":"10.1109/FUZZ-IEEE.2017.8015760","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015760","url":null,"abstract":"The study of human remains suffers from a lack of information for determining a reliable estimation of the age of an individual. One of the most extended methods for this task was proposed in the twenties of the past century and is based on the analysis of the pubic bone. The method describes some age changes occurring in the pubic bone and establishes ten different age ranges with a description of the morphological aspect of the bone in each one of them. These descriptions are sometimes vague and there is not a systematic way for using the method. In this contribution we propose two different preliminary fuzzy rule-based classification system designs for age estimation from the pubic bone that consider the main morphological characteristics of the bone as independent and linguistic variables. So, we have identified the problem variables and we have defined the corresponding linguistic labels making use of forensic expert knowledge, that is also considered to design a decision support fuzzy system. A brief collection of pubic bones labeled by forensic anthropologists has been used for learning the second fuzzy rule-based classification system by means of a fuzzy decision tree. The experiments developed report a best performance of the latter approach.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130867735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An integrated fuzzy cognitive map-Bayesian network model for improving HSEE in energy sector 基于模糊认知地图-贝叶斯网络的能源行业HSEE综合改进模型

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015594

A. Azadeh, P. Pourreza, Morteza Saberi, O. Hussain, Elizabeth Chang

引用次数: 0

Learning to rank answers to closed-domain questions by using fuzzy logic 学习用模糊逻辑对闭域问题的答案进行排序

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015745

Marco Pota, M. Esposito, G. Pietro

{"title":"Learning to rank answers to closed-domain questions by using fuzzy logic","authors":"Marco Pota, M. Esposito, G. Pietro","doi":"10.1109/FUZZ-IEEE.2017.8015745","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015745","url":null,"abstract":"Question answering (QA) is a challenging task and has received considerable attention in the last years. Answer selection among candidate answers is one of the main phases for QA and the best answer to be returned is determined in this phase. A common approach consists in considering the selection of the final answer(s) as a ranking problem. So far, different methods have been proposed, mainly oriented to produce a single best ranking model operating in the same way on all the question types. Differently, this paper proposes a fuzzy approach for ranking and selecting the correct answer among a list of candidates in a state-of-the-art QA system operating with factoid and description questions on Italian corpora pertaining a closed domain. Starting from the consideration that this ranking problem can be reduced to a classification one, the proposed approach is based on the Likelihood-Fuzzy Analysis (LFA), applied in this case for mining fuzzy rule-based models able to discern correct (True) from incorrect answers (False). Such fuzzy models are mined as specifically tailored to each question type, and, thus, can be individually applied to produce a more robust and accurate final ranking. An experimental session over a collection of questions pertaining the Cultural Heritage domain, using a manually annotated gold-standard dataset, shows that considering specific fuzzy ranking models for each question type improves the accuracy of the best answer returned back to the user.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133078911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Interval valued data enhanced fuzzy cognitive maps: Torwards an appraoch for Autism deduction in Toddlers 区间值数据增强模糊认知图:幼儿自闭症演绎的一种方法

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015702

Alya Al Farsi, F. Doctor, D. Petrovic, S. Chandran, Charalampos Karyotis

{"title":"Interval valued data enhanced fuzzy cognitive maps: Torwards an appraoch for Autism deduction in Toddlers","authors":"Alya Al Farsi, F. Doctor, D. Petrovic, S. Chandran, Charalampos Karyotis","doi":"10.1109/FUZZ-IEEE.2017.8015702","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015702","url":null,"abstract":"Fuzzy Cognitive Maps (FCMs) are a soft computing technique characterized by robust properties that make them an effective technique for medical decision support systems. Making decisions within a medical domain is difficult due to the existence of high levels of uncertainty. The sources of this uncertainty can be due to the variation of physicians' opinions and experiences. The structure of existing FCMs is based on type-1 fuzzy sets in order to represent the causal relations among concepts of the modeled system. Therefore, the ability of the FCM to handle high levels of uncertainties and deliver accurate results can be hindered. In this paper, we propose using the Interval Agreement Approach to model the weights of links in FCMs to capture high level uncertainties in the presence of imprecise data acquired from different medical experts to enhance its decision modelling and reasoning capability. The proposed model is used in identifying if a child is diagnosed with an Autism Spectrum Disorder (ASD) where the Modified Checklist for Autism in Toddlers is used as a standard tool to derive the inputs for the FCMs. Initial results demonstrate that the proposed method outperforms conventional FCMs in classifying ASD based on a dataset of diagnosed cases.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Deictic gesture enhanced fuzzy spatial relation grounding in natural language 指示手势增强了自然语言的模糊空间关系基础

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015637

P. Srimal, M. Muthugala, A. Jayasekara

{"title":"Deictic gesture enhanced fuzzy spatial relation grounding in natural language","authors":"P. Srimal, M. Muthugala, A. Jayasekara","doi":"10.1109/FUZZ-IEEE.2017.8015637","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015637","url":null,"abstract":"In the recent past, domestic service robots have come under close scrutiny among researchers. When collaborating with humans, robots should be able to clearly understand the instructions conveyed by the human users. Voice interfaces are frequently used as a mean of interaction interface between users and robots, as it requires minimum amount of work overhead from the users. However, the information conveyed through the voice instructions are often ambiguous and cumbersome due to the inclusion of imprecise information. The voice instructions are often accompanied with gestures especially when referring objects, locations, directions etc. in the environment. However, the information conveyed solely through these gestures is also imprecise. Therefore, it is more effective to consider a multimodal interface rather than a unimodal interface in order to understand the user instructions. Moreover, the information conveyed through the gestures can be used to improve the understanding of the user instructions related to object placements. This paper proposes a method to enhance the interpretation of user instructions related to the object placements by interpreting the information conveyed through voice and gestures. Furthermore, the proposed system is capable of adapting the understanding, according to the spatial arrangement of the workspace of the robot. Fuzzy logic system is proposed in order to evaluate the information conveyed through these two modalities while considering the arrangement of the workspace. Experiments have been carried out in order to evaluate the performance of the proposed system. The experimental results validate the performance gain of the proposed multimodal system over the unimodal systems.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124319416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Interval fuzzy rule-based modeling approach for financial time series forecasting 基于区间模糊规则的金融时间序列预测建模方法

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015654

Leandro Maciel, R. Ballini

引用次数: 5

Black-and-white drawing support for adobe illustrator using onomatopoeia 黑白绘图支持adobe illustrator使用拟声词

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015608

Yuri Yamada, Gou Kayama, Tsuyoshi Nakamura, Kazuya Endo, M. Kanoh, Koji Yamada

{"title":"Black-and-white drawing support for adobe illustrator using onomatopoeia","authors":"Yuri Yamada, Gou Kayama, Tsuyoshi Nakamura, Kazuya Endo, M. Kanoh, Koji Yamada","doi":"10.1109/FUZZ-IEEE.2017.8015608","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015608","url":null,"abstract":"Adobe Illustrator provides many tools for a user to create art works. The tools also provide many parameters or options that the user can tune up or select. This study focuses on black-and-white drawings (“Sumi-e” or “Suiboku-ga” in Japanese) on Adobe Illustrator. In order to create black-and-white drawings, the user usually has to select a proper brush from preset brushes Adobe Illustrator provides. But the selection is difficult for the user, especially beginners. This paper proposes a supporting plug-in tool for the user to decide and apply the proper brush. The plug-in can accept an onomatopoeic utterance input which expresses the user's own imagination or impression of the brush. Onomatopoeia is well known as a useful figurative expression for Japanese people to describe their own imagination or impression for something. This paper reports the configuration of the plug-in and illustrated some examples of black-and-white drawings created by using the plug-in. The architecture of the plug-in consists of CNN(convolution neural network), database of brush samples, brush image interpolation, fuzzy-based image expansion and contraction, and so on. CNN allows input of arbitrary onomatopoeias. The brush image interpolation generates a new brush from brush samples in the database. The fuzzy-based image expansion and contraction transforms the new brush into a natural-looked brush form with less jaggy.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"27 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0