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2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献

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Personalized route problem with fuzzy constraints 模糊约束下的个性化路由问题
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015571
Marina Torres, D. Pelta, Carlos Cruz, J. Verdegay
{"title":"Personalized route problem with fuzzy constraints","authors":"Marina Torres, D. Pelta, Carlos Cruz, J. Verdegay","doi":"10.1109/FUZZ-IEEE.2017.8015571","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015571","url":null,"abstract":"The Personalized Route Problem resembles the so-called multi-criteria Shortest Path Problem where every arc (street) of the graph (map) has a set of costs (values) associated to a set of criteria (features). The personalization of the path comes when the user a) determines how important is each criterion according to personal preferences and b) indicates constraints on the criteria values. The preferences are often uncertain, imprecise or inexact. Also, it seems reasonable to allow some relaxation on the constraints. We propose and define a new model for the Personalized Route Problem with fuzzy constraints. As an example, we show its application to the Shortest Path Route with fuzzy constraints on the slopes values.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"66 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":"114205860","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: 2
Towards relational fuzzy adjunctions 走向关系模糊补语
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015677
I. P. Cabrera, P. Cordero, M. Ojeda‐Aciego
{"title":"Towards relational fuzzy adjunctions","authors":"I. P. Cabrera, P. Cordero, M. Ojeda‐Aciego","doi":"10.1109/FUZZ-IEEE.2017.8015677","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015677","url":null,"abstract":"The problem of studying the existence of a right adjoint for a mapping defined between sets with different fuzzy structure naturally leads to the search of new notions of adjunction which fit better with the underlying structure of domain and codomain. In this work, we introduce a version of relational fuzzy adjunction between fuzzy preposets which generalizes previous approaches in that its components are fuzzy relations. We also prove that the construction behaves properly with respect to the formation of quotient with respect to the symmetric kernel relation.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"248 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":"116161398","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: 2
An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics 用于语言学感性突出性定性研究的自适应神经模糊推理系统
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015716
A. Vitiello, G. Acampora, F. Cutugno, P. Wagner, A. Origlia
{"title":"An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics","authors":"A. Vitiello, G. Acampora, F. Cutugno, P. Wagner, A. Origlia","doi":"10.1109/FUZZ-IEEE.2017.8015716","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015716","url":null,"abstract":"This paper explores the applications of fuzzy logic inference systems as an instrument to perform linguistic analysis in the domain of prosodic prominence. Understanding how acoustic features interact to make a linguistic unit be perceived as more relevant than the surrounding ones is generally needed to study the cognitive processes needed for speech understanding. It also has technological applications in the field of speech recognition and synthesis. We present a first experiment to show how fuzzy inference systems, being characterised by their capability to provide detailed insight about the models obtained through supervised learning can help investigate the complex relationships among acoustic features linked to prominence perception.","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":"124346589","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: 1
Dynamic simultaneous adaptation of parameters in the grey wolf optimizer using fuzzy logic 利用模糊逻辑实现灰狼优化器中参数的动态同步自适应
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015523
Luis Rodríguez, O. Castillo, Mario García Valdez, J. Soria, F. Valdez, P. Melin
{"title":"Dynamic simultaneous adaptation of parameters in the grey wolf optimizer using fuzzy logic","authors":"Luis Rodríguez, O. Castillo, Mario García Valdez, J. Soria, F. Valdez, P. Melin","doi":"10.1109/FUZZ-IEEE.2017.8015523","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015523","url":null,"abstract":"The main goal of the work presented in the paper is to introduce the use of fuzzy logic in the Grey Wolf Optimizer (GWO) algorithm specifically for dynamic simultaneous adaptation of the key parameters, which are crucial in the performance of the metaheuristic. The proposed approach for this modification of GWO using fuzzy logic is presented. In addition, a brief comparison between the traditional GWO algorithm and the Grey Wolf Optimizer using fuzzy logic for dynamic adaptation of parameters is reported. This research shows the individual dynamic adjustment of two parameters and then a proposal of how to simultaneously adjust both parameters and finally we present the performance of these methods when they are tested with a set of benchmark functions, showing the advantage of using the strategy of simultaneous adaptation of parameters.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"13 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":"126402488","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
Efficiency improvement of DC∗ through a Genetic Guidance 通过遗传引导提高DC *的效率
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015585
C. Castiello, Corrado Mencar, M. Lucarelli, Franz Rothlauf
{"title":"Efficiency improvement of DC∗ through a Genetic Guidance","authors":"C. Castiello, Corrado Mencar, M. Lucarelli, Franz Rothlauf","doi":"10.1109/FUZZ-IEEE.2017.8015585","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015585","url":null,"abstract":"DC∗ is a method for generating interpretable fuzzy information granules from pre-classified data. It is based on the subsequent application of LVQ1 for data compression and an ad-hoc procedure based on A∗ to represent data with the minimum number of fuzzy information granules satisfying some interpretability constraints. While being efficient in tackling several problems, the A∗ procedure included in DC∗ may happen to require a long computation time because the A∗ algorithm has exponential time complexity in the worst case. In this paper, we approach the problem of driving the search process of A∗ by suggesting a close-to-optimal solution that is produced through a Genetic Algorithm (GA). Experimental evaluations show that, by driving the A∗ algorithm embodied in DC∗ with a GA solution, the time required to perform data granulation can be reduced by at least 45% and up to 99%.","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":"128154233","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: 2
A multicriteria outranking modeling approach for personnel selection 人员选择的多标准超等级建模方法
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015551
D. A. G. Chavira, J. C. López, Jesús Jaime Solano Noriega, Javier Leonardo Pereira Retamales
{"title":"A multicriteria outranking modeling approach for personnel selection","authors":"D. A. G. Chavira, J. C. López, Jesús Jaime Solano Noriega, Javier Leonardo Pereira Retamales","doi":"10.1109/FUZZ-IEEE.2017.8015551","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015551","url":null,"abstract":"Personnel selection constitutes an important decision making problem that determines, to a large degree, the competitiveness and performance of organizations. The personnel selection process works with the vacancy requirements and the available information concerning to the applicants. Complicating this process, we have diverse competencies or skills to evaluate the candidates for a vacancy, which can be modeled as a multicriteria problem. In this article, we propose a multicriteria approach to solve instances of personnel selection problem. For that, we use a software called SADGAGE, which solves instances of the multicriteria ranking problem with decreasing preferences direction about the preferences of a decision maker.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"47 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":"125460821","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: 5
Identification of medial proximal stem shape by measurement of five ultrasound probes inside stem model 通过测量茎模型内的5个超声探头来识别茎内侧近端形状
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015599
Ayaka Gonda, K. Nagamune, Kiyonori Mizuno
{"title":"Identification of medial proximal stem shape by measurement of five ultrasound probes inside stem model","authors":"Ayaka Gonda, K. Nagamune, Kiyonori Mizuno","doi":"10.1109/FUZZ-IEEE.2017.8015599","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015599","url":null,"abstract":"Total Hip Arthroplasty (THA) recently becomes more famous in Japan. The number of operations is increasing more and more because of longevity. In the operation, inserting artificial femoral joint is important for clinical outcome (e.g., pain, and loosening.). In addition, femoral stem which is one of the artificial joints, has a shape fitting to femur bone so that the fixation between the femur bone and the artificial joint. The fixation degree of the artificial joint strongly depends on the insertion angle of the artificial joint. However, THA requires fuzzy subjective judgement of surgeons due to the difficulty to define the fixation degree. To evaluate the fuzzy subjective judgement, this study aims to specify the curve shape of medial proximal part of stem by measuring the curve with ultrasound device. This study develops five probes with small size which enables us to embed the probes into inside stem. The probes measure reflected echoes from boundary of the femur contour, then the propagated time of the echo was converted into the distance from the surface of the probes and the femur contour by using ultrasound velocity. The experiments were performed with two femur models. As a result, the proposed system could show the contour which is corresponding with real shape. We indicated usefulness of the method using ultrasound proves for measuring a curve stem inside.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"99 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":"122259680","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
Adding fuzzy color information for image classification 为图像分类添加模糊颜色信息
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015622
J. I. Forcén, M. Pagola, H. Bustince, J. M. Soto-Hidalgo, J. Chamorro-Martínez
{"title":"Adding fuzzy color information for image classification","authors":"J. I. Forcén, M. Pagola, H. Bustince, J. M. Soto-Hidalgo, J. Chamorro-Martínez","doi":"10.1109/FUZZ-IEEE.2017.8015622","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015622","url":null,"abstract":"Color is a powerful feature for image analysis but it is usually not used in image classification schemes. We propose a method to combine fuzzy color information with the result obtained from a One-Versus-All classifier (OVA) trained with Bag-of-features. This method consists in weighting the outputs of the OVA classifier based on the distances between the new image to be classified and the classes. Experimental results show that our approach improves OVA classifier performance.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"67 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":"121591524","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: 4
Zadeh's separation theorem to calculate operations on type-2 fuzzy sets 用Zadeh分离定理计算二类模糊集上的操作
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015722
H. Tahayori, A. Sadeghian
{"title":"Zadeh's separation theorem to calculate operations on type-2 fuzzy sets","authors":"H. Tahayori, A. Sadeghian","doi":"10.1109/FUZZ-IEEE.2017.8015722","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015722","url":null,"abstract":"Processing type-2 fuzzy sets is more demanding than processing interval type-2 fuzzy sets or type-1 fuzzy sets. In this paper we propose a method for calculating union and intersection operations using min t-norm and max t-conorm on general type-2 fuzzy sets. The proposed method is based on Zadeh's separation theorem and though is straightforward. The important feature of the algorithm is its simplicity and applicability on the type-2 fuzzy sets with convex membership grades.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"33 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":"115813946","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: 6
Fuzzy rough feature selection based on OWA aggregation of fuzzy relations 基于OWA模糊关系聚合的模糊粗糙特征选择
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI: 10.1109/FUZZ-IEEE.2017.8015498
P. Su, C. Shang, Yitian Zhao, Tianhua Chen, Q. Shen
{"title":"Fuzzy rough feature selection based on OWA aggregation of fuzzy relations","authors":"P. Su, C. Shang, Yitian Zhao, Tianhua Chen, Q. Shen","doi":"10.1109/FUZZ-IEEE.2017.8015498","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015498","url":null,"abstract":"The interaction between features, or attributes, of a dataset forms a major topic in machine learning and data mining. In particular, a wide range of methods have been established for feature selection, ranking, and grouping. Amongst these, fuzzy rough set based feature selection (FRFS) has been shown to be highly effective at reducing dimensionality for real-valued datasets while retaining attribute semantics. In fuzzy rough sets, the concept of crisp equivalence classes is extended by fuzzy similarity relations, and real-valued similarity measures can be captured between data instances in terms of their attribute values. Therefore, it is desirable to study the aggregation of fuzzy similarity relations to reflect the interactions between attributes. This paper presents an approach that employs OWA aggregation of fuzzy similarity relations to better perform FRFS. A high degree of modelling flexibility is provided by choosing the stress function in OWA. Experimental studies demonstrate that through using different stress functions, different features may be selected; and that given an appropriate stress function, the quality of selected features can improve over that achievable by the state-of-the-art FRFS, in performing classification tasks.","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":"132223284","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: 4
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