International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems最新文献

Fuzzy Perspective of Online Games by Using Cryptography and Cooperative Game Theory 利用密码学和合作博弈论模糊透视网络游戏

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Pub Date : 2023-12-01 DOI: 10.1142/s021848852350040x

S. Z. A. Gök, S. Ergün, Baris Bülent Kirlar, Ismail Özcan, Aslı Tayman

引用次数: 0

GMDA: GCN-Based Multi-Modal Domain Adaptation for Real-Time Disaster Detection GMDA：基于 GCN 的多模式域自适应，用于实时灾害检测

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Pub Date : 2023-12-01 DOI: 10.1142/s0218488523500435

Yingdong Gou, Kexin Wang, Siwen Wei, Changxin Shi

{"title":"GMDA: GCN-Based Multi-Modal Domain Adaptation for Real-Time Disaster Detection","authors":"Yingdong Gou, Kexin Wang, Siwen Wei, Changxin Shi","doi":"10.1142/s0218488523500435","DOIUrl":"https://doi.org/10.1142/s0218488523500435","url":null,"abstract":"Nowadays, with the rapid expansion of social media as a means of quick communication, real-time disaster information is widely disseminated through these platforms. Determining which real-time and multi-modal disaster information can effectively support humanitarian aid has become a major challenge. In this paper, we propose a novel end-to-end model, named GCN-based Multi-modal Domain Adaptation (GMDA), which consists of three essential modules: the GCN-based feature extraction module, the attention-based fusion module and the MMD domain adaptation module. The GCN-based feature extraction module integrates text and image representations through GCNs, while the attention-based fusion module then merges these multi-modal representations using an attention mechanism. Finally, the MMD domain adaptation module is utilized to alleviate the dependence of GMDA on source domain events by computing the maximum mean discrepancy across domains. Our proposed model has been extensively evaluated and has shown superior performance compared to state-of-the-art multi-modal domain adaptation models in terms of F1 score and variance stability.","PeriodicalId":507871,"journal":{"name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","volume":"35 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195634","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

Flexible Robust Control Strategy for Synchronization of Uncertain Non-Linear Systems with Control Input Non-Linearity 具有控制输入非线性的不确定非线性系统同步化的灵活鲁棒控制策略

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Pub Date : 2023-12-01 DOI: 10.1142/s0218488523500411

Vannick Fopa Mawamba, A. S. T. Kammogne, Jacques Kengne, Martin Siewe Siewe

{"title":"Flexible Robust Control Strategy for Synchronization of Uncertain Non-Linear Systems with Control Input Non-Linearity","authors":"Vannick Fopa Mawamba, A. S. T. Kammogne, Jacques Kengne, Martin Siewe Siewe","doi":"10.1142/s0218488523500411","DOIUrl":"https://doi.org/10.1142/s0218488523500411","url":null,"abstract":"A robust global fuzzy sliding mode controller is designed in this paper for the synchronization of non-linear systems with control input non-linearities (CIN) and uncertainties. A consistent global fuzzy sliding mode control (GFSMC) law is developed, which guarantees the suppression of the reaching phase and the presence of the sliding phase from the initial time. Chattering phenomenon, which is characteristic of customary sliding mode control (SMC), avoided by the on-line fuzzy regulation of the sliding surface in the controller, when the system is subject to disturbances and CIN. Finite-time boundedness (FTB) properties are designed with adequate conditions, which are entrenched in terms of linear matrix inequalities (LMIs) with the help of cost and Lyapunov functions. Numerical simulations for the synchronization problem of the chaotic modified Colpitt’s system and Duffing system clearly show the good performance of the proposed control scheme. The present work provides a regular procedure to design GFSMC for a class of non-linear systems with CIN.","PeriodicalId":507871,"journal":{"name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189966","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

Combining Fuzzy Partitioning and Incremental Methods to Construct a Scalable Decision Tree on Large Datasets 结合模糊分区法和增量法构建大型数据集上的可扩展决策树

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Pub Date : 2023-12-01 DOI: 10.1142/s0218488523500423

Somayeh Lotfi, Mohammad Ghasemzadeh, M. Mohsenzadeh, M. Mirzarezaee

{"title":"Combining Fuzzy Partitioning and Incremental Methods to Construct a Scalable Decision Tree on Large Datasets","authors":"Somayeh Lotfi, Mohammad Ghasemzadeh, M. Mohsenzadeh, M. Mirzarezaee","doi":"10.1142/s0218488523500423","DOIUrl":"https://doi.org/10.1142/s0218488523500423","url":null,"abstract":"The Decision tree algorithm is a very popular classifier for reasoning through recursive partitioning of the data space. To choose the best attributes for splitting, the range of each continuous attribute should be split into two or more intervals. Then partitioning criteria are calculated for each value. Fuzzy partitioning can be used to reduce sensitivity to noise and increase tree stability. Also, tree-building algorithms face memory limitations as they need to keep the entire training dataset in the main memory. In this paper, we introduced a fuzzy decision tree approach based on fuzzy sets. To avoid storing the entire training dataset in the main memory and overcome the memory limitations, the algorithm incrementally builds FDTs. Membership functions are automatically generated. The Fuzzy Information Gain (FIG) is then used as the fast split attribute selection criterion, and leaf expansion is performed only on the instances stored in it. The efficiency of this algorithm is examined in terms of accuracy and tree complexity. The results show that the proposed algorithm can overcome memory limitations and balance accuracy and complexity while reducing the complexity of the tree.","PeriodicalId":507871,"journal":{"name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","volume":"42 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192822","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

Coordination of Cyclic crossover and Bat Algorithm for the Travelling Salesman Problems in Different Environments: A Simulation Approach 不同环境下旅行推销员问题的循环交叉和蝙蝠算法的协调：一种模拟方法

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Pub Date : 2023-12-01 DOI: 10.1142/s0218488523500447

Sova Pal, P. Dutta, Indadul Khan, Prasenjit Pramanik, A. K. Maiti, M. Maiti

{"title":"Coordination of Cyclic crossover and Bat Algorithm for the Travelling Salesman Problems in Different Environments: A Simulation Approach","authors":"Sova Pal, P. Dutta, Indadul Khan, Prasenjit Pramanik, A. K. Maiti, M. Maiti","doi":"10.1142/s0218488523500447","DOIUrl":"https://doi.org/10.1142/s0218488523500447","url":null,"abstract":"In this study, the features of cyclic crossover process and K-opt are incorporated in the bat algorithm (BA) to solve the Travelling Salesman Problems (TSP) in different environments. Swap operation and swap sequence are applied for the modification of the different operations of the BA to solve the TSPs. The cyclic crossover operation is applied in a regular interval of iterations on the best found solution and each solution of the final population of BA for the enhancement of the exploration as well as exploitation of the search process. K-Opt operation is applied on the population in each iteration of the BA with some probability for the exploitation. The algorithm is tested with a set of benchmark test instances of the TSPLIB. The algorithm produces exact results for a set of significantly large size problems. For the TSPs in fuzzy environment, a fuzzy simulation approach is proposed to deal with the fuzzy data having linear as well as non-linear membership functions. Also, a rough simulation process is proposed to deal with the TSPs in the rough environment where rough estimation can be done following any type of rough measure. The performance of the algorithm is compared with the state-of-the-art algorithms for the TSPs with crisp cost matrices using different statistical tools.","PeriodicalId":507871,"journal":{"name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","volume":"51 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192149","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