IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re最新文献_第5页

A fuzzy genetic multiobjective optimization algorithm for a multilevel generalized assignment problem 多级广义分配问题的模糊遗传多目标优化算法

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.814033

S. Hajri-Gabouj

引用次数: 28

Correction to "A decision support system for interactive decision making - Part I: model formulation" 更正“交互式决策的决策支持系统-第一部分:模型制定”

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.815952

L. Fang, K. Hipel, D. Kilgour, Xiaoyong Peng

引用次数: 26

Reactive scheduling of complex system maintenance in a cooperative environment with communication times 具有通信时间的协作环境下复杂系统维护的响应调度

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.813344

Y. L. Quéré, Marc Sevaux, C. Tahon, Damien Trentesaux

{"title":"Reactive scheduling of complex system maintenance in a cooperative environment with communication times","authors":"Y. L. Quéré, Marc Sevaux, C. Tahon, Damien Trentesaux","doi":"10.1109/TSMCC.2003.813344","DOIUrl":"https://doi.org/10.1109/TSMCC.2003.813344","url":null,"abstract":"This paper focuses on the problem of complex system maintenance in a cooperative environment composed of several decision centers, taking into account communication times. Maintenance activities generate a specific issue for the scheduling of tasks since they identify, dynamically, new tasks, or modify the duration of planned tasks. In addition, when an unexpected event is detected by a decision center, some modifications of the schedule required by this decision center may have consequences on tasks under the control of other decision centers. In fact, some constraints exist between the jobs under the control of different decision centers. Each modification of the execution of a job should be submitted to the approval of each concerned decision center, implying a communication time between all these decision centers. Nevertheless, these communication times may not be compatible with desired modifications. This is why we present an algorithm to ensure rescheduling feasibility, including communication times between decision centers for the maintenance of complex systems in a coordinated environment. Finally, we implement our algorithm on the industrial context of the TGV maintenance in the French railway company.","PeriodicalId":55005,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re","volume":"148 1","pages":"225-234"},"PeriodicalIF":0.0,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86116883","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

Online pattern classification with multiple neural network systems: an experimental study 多神经网络在线模式分类的实验研究

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.813150

C. Lim, R. Harrison

{"title":"Online pattern classification with multiple neural network systems: an experimental study","authors":"C. Lim, R. Harrison","doi":"10.1109/TSMCC.2003.813150","DOIUrl":"https://doi.org/10.1109/TSMCC.2003.813150","url":null,"abstract":"In this paper, an empirical study of the development and application of a committee of neural networks on online pattern classification tasks is presented. A multiple classifier framework is designed by adopting an Adaptive Resonance Theory-based (ART) autonomously learning neural network as the building block. A number of algorithms for combining outputs from multiple neural classifiers are considered, and two benchmark data sets have been used to evaluate the applicability of the proposed system. Different learning strategies coupling offline and online learning approaches, as well as different input pattern representation schemes, including the \"ensemble\" and \"modular\" methods, have been examined experimentally. Benefits and shortcomings of each approach are systematically analyzed and discussed. The results are comparable, and in some cases superior, with those from other classification algorithms. The experiments demonstrate the potentials of the proposed multiple neural network systems in offering an alternative to handle online pattern classification tasks in possibly nonstationary environments.","PeriodicalId":55005,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re","volume":"2 1","pages":"235-247"},"PeriodicalIF":0.0,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88285194","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: 41

Component and agent-based FMS modeling and controller synthesis 基于组件和代理的FMS建模和控制器综合

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.813147

Wenbiao Han, M. Jafari

引用次数: 26

Integrating simulation and optimization of manufacturing systems 制造系统仿真与优化集成

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.914037

D. Duvivier, V. Dhaevers, V. Bachelet, A. Artiba

引用次数: 28

Sensor fusion in anti-personnel mine detection using a two-level belief function model 基于两级信念函数模型的地雷探测传感器融合

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.814034

N. Milisavljevic, I. Bloch

{"title":"Sensor fusion in anti-personnel mine detection using a two-level belief function model","authors":"N. Milisavljevic, I. Bloch","doi":"10.1109/TSMCC.2003.814034","DOIUrl":"https://doi.org/10.1109/TSMCC.2003.814034","url":null,"abstract":"A two-level approach for modeling and fusion of antipersonnel mine detection sensors in terms of belief functions within the Dempster-Shafer framework is presented. Three promising and complementary sensors are considered: a metal detector, an infrared camera, and a ground-penetrating radar. Since the metal detector, the most often used mine detection sensor, provides measures that have different behaviors depending on the metal content of the observed object, the first level aims at identifying this content and at providing a classification into three classes. Depending on the metal content, the object is further analyzed at the second level toward deciding the final object identity. This process can be applied to any problem where one piece of information induces different reasoning schemes depending on its value. A way to include influence of various factors on sensors in the model is also presented, as well as a possibility that not all sensors refer to the same object. An original decision rule adapted to this type of application is proposed, as well as a way for estimating confidence degrees. More generally, this decision rule can be used in any situation where the different types of errors do not have the same importance. Some examples of obtained results are shown on synthetic data mimicking reality and with increasing complexity. Finally, applications on real data show promising results.","PeriodicalId":55005,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re","volume":"17 1","pages":"269-283"},"PeriodicalIF":0.0,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90926999","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: 82

Subsethood based adaptive linguistic networks for pattern classification 基于子集的自适应语言网络模式分类

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2002.806073

Sandeep Paul, Satish Kumar

{"title":"Subsethood based adaptive linguistic networks for pattern classification","authors":"Sandeep Paul, Satish Kumar","doi":"10.1109/TSMCC.2002.806073","DOIUrl":"https://doi.org/10.1109/TSMCC.2002.806073","url":null,"abstract":"This paper presents a fuzzy-neural network that admits both numeric as well as linguistic inputs. Numeric inputs are fuzzified by input nodes upon presentation to the network. Fuzzy rule-based knowledge is translated directly into a network architecture. Connections in the network are represented by fuzzy sets: Input to hidden connections represent rule antecedents; hidden to output connections represent rule consequents. The novelty of the model lies in the method of activation spread in the network which is based on a fuzzy mutual subsethood measure. Rule (hidden) node activations are computed as a fuzzy inner product. For a given numeric or fuzzy input, numeric outputs are computed using volume based defuzzification. A supervised learning procedure based on gradient descent is employed to train the network. The model has a natural capability for inference, function approximation, and classification and is versatile in that it can handle numeric and fuzzy inputs simultaneously. In this paper, we focus on the classification ability of the model and demonstrate its performance on three benchmark classification problems: the Iris data set, Ripley's synthetic two class problem, and Pal and Mitra's Telegu vowel data. Results show that the classifier performs at par or better than various other techniques.","PeriodicalId":55005,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re","volume":"9 1","pages":"248-258"},"PeriodicalIF":0.0,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75321327","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: 14

Correction to "A decision support system for interactive decision making - Part II: analysis and output interpretation" 更正“交互式决策的决策支持系统。第2部分:分析和输出解释”

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.815953

L. Fang, K. Hipel, D. Kilgour, Xiaoyong Peng

引用次数: 23

Special issue on intelligent techniques in flexible manufacturing systems 柔性制造系统中的智能技术特刊

IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Re Pub Date : 2003-05-01 DOI: 10.1109/TSMCC.2003.813336

S. Hammadi, C. Tahon

引用次数: 12