International Journal of Uncertainty Fuzziness and Knowledge-Based Systems最新文献_第3页

A Modified TOPSIS Approach with Three-Way Decision 一种具有三方决策的改进TOPSIS方法

4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-10-01 DOI: 10.1142/s021848852350037x

Qiuyan Zhan, Lesheng Jin, Ronald R. Yager

引用次数: 0

Interval Methods in Knowledge Representation 知识表示中的区间方法

4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-10-01 DOI: 10.1142/s021848852397005x

Vladik Kreinovich

引用次数: 0

Improved Meta-Heuristic Model for Text Document Clustering by Adaptive Weighted Similarity 基于自适应加权相似度的文本文档聚类改进元启发式模型

4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-10-01 DOI: 10.1142/s0218488523500356

Gugulothu Venkanna, K. F. Bharati

引用次数: 0

Necessary and Sufficient Optimality Conditions for Fuzzy Variational Problems of Several Dependent Variables in Terms of Fuzzy Granular Derivatives 基于模糊颗粒导数的多因变量模糊变分问题的充要条件

4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-10-01 DOI: 10.1142/s0218488523500381

Le Thanh Tung, Dang Hoang Tam

引用次数: 0

Uncertainty Measures in Fuzzy Set-Valued Information Systems Based on Fuzzy β-Neighborhood Similarity Relations 基于模糊β-邻域相似关系的模糊集值信息系统的不确定性度量

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500289

Jie Ren, Ping Zhu

{"title":"Uncertainty Measures in Fuzzy Set-Valued Information Systems Based on Fuzzy β-Neighborhood Similarity Relations","authors":"Jie Ren, Ping Zhu","doi":"10.1142/s0218488523500289","DOIUrl":"https://doi.org/10.1142/s0218488523500289","url":null,"abstract":"Uncertainty measures are instrumental in describing the classification abilities in information systems, and uncertain information has been measured and processed with granular computing theory. While the fuzzy set-valued information system is a generalization of fuzzy information systems, the relationship between the information granulation and the uncertainty in fuzzy set-valued information systems remains to be studied. This paper probes into uncertainty measures in fuzzy set-valued information systems based on the fuzzy [Formula: see text]-neighborhood and the idea of granulation. Specifically, the fuzzy [Formula: see text]-neighborhood similarity relation that reflects the similarity between two objects is defined in terms of the nearness degree. We propose the concepts of information granules and granular structures induced by fuzzy [Formula: see text]-neighborhood similarity relations, based on which we introduce the granularity measures and rough approximation measures of granular structures in fuzzy set-valued information systems. Given the situation of decision information systems, we propose the granularity-based rough approximation measures by combining granularity measures with rough approximation measures. Experiment results and effectiveness analysis show that the measures we proposed are reasonable and feasible.","PeriodicalId":50283,"journal":{"name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","volume":"48 36","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72390591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multidimensional Statistical Convergence in Credibility Theory 可信度理论中的多维统计收敛

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500277

R. Savaş

引用次数: 0

Characterizing Some Types of Uninorms on Bounded Lattices 有界格上几种一致信息的刻画

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500253

Huayan Wen, Xinxing Wu, G. Çayli

引用次数: 0

Modeling Control and Forecasting Nonlinear Systems Based on Grey Signal Theory 基于灰色信号理论的非线性系统建模、控制与预测

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500307

Z. Y. Chen, Ruei-yuan Wang, Y. Meng, Timothy Chen

引用次数: 0

Dynamic Multi-Swarm Competitive Fireworks Algorithm for Global Optimization and Engineering Constraint Problems 全局优化与工程约束问题的动态多群竞争烟花算法

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500290

Ke Lei, Yonghong Wu

{"title":"Dynamic Multi-Swarm Competitive Fireworks Algorithm for Global Optimization and Engineering Constraint Problems","authors":"Ke Lei, Yonghong Wu","doi":"10.1142/s0218488523500290","DOIUrl":"https://doi.org/10.1142/s0218488523500290","url":null,"abstract":"As a novel intelligent algorithm, fireworks algorithm (FWA) is applied to deal with different types of optimization problems. Since FWA’s search processes are relatively simple, it is inefficient. In this paper, a dynamic multi-swarm competitive fireworks algorithm (DMCFWA) is developed to enhance the search capability of FWA. Firstly, based on the scaling coefficient updated by utilizing the fitness value of the optimal firework, the dynamic explosion amplitude strategy is proposed to improve the search capability of the best firework. Secondly, utilizing the location information of the fireworks, an improved search method is designed to enhance the local search capability of firework swarms. Thirdly, a multi-swarm independent selection technique and a restart operation are adopted to boost its abilities of global exploration and local exploitation. Finally, to reduce the computational cost of FWA, a new initialization method is used and a new model for calculating the spark number is embedded in DMCFWA. By adopting these strategies, DMCFWA easily implements and does well in exploitation and exploration. CEC2017 test suite and four engineering constraint problems are used to demonstrate the performance of DMCFWA. Experimental results show that DMCFWA performs more effectively and stably than its competitors.","PeriodicalId":50283,"journal":{"name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","volume":"64 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75704376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptively Sparse Transformers Hawkes Process 自适应稀疏变压器Hawkes过程

IF 1.5 4区计算机科学

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI: 10.1142/s0218488523500319

Yue Gao, Jian-Wei Liu

{"title":"Adaptively Sparse Transformers Hawkes Process","authors":"Yue Gao, Jian-Wei Liu","doi":"10.1142/s0218488523500319","DOIUrl":"https://doi.org/10.1142/s0218488523500319","url":null,"abstract":"Nowadays, many sequences of events are generated in areas as diverse as healthcare, finance, and social network. People have been studying these data for a long time. They hope to predict the type and occurrence time of the next event by using relationships among events in the data. recently, with the successful application of Recurrent Neural Network (RNN) in natural language processing, it has been introduced into point process. However, RNN cannot capture the long-term dependence among events well, and self-attention can partially mitigate this problem precisely. Transformer Hawkes Process (THP) using self-attention greatly improves the performance of the Hawkes Process, but THP cannot ignore the effect of irrelevant events, which will affect the computational complexity and prediction accuracy of the model. In this paper, we propose an Adaptively Sparse Transformers Hawkes Process (ASTHP). ASTHP considers the periodicity and nonlinearity of event time in the time encoding process. The sparsity of the ASTHP is achieved by substituting Softmax with [Formula: see text]-entmax: [Formula: see text]-entmax is a differentiable generalization of Softmax that allows unrelated events to gain exact zero weight. By optimizing the neural network parameters, different attention heads can adaptively select sparse modes (from Softmax to Sparsemax). Compared with the existing models, ASTHP model not only ensures the prediction performance but also improves the interpretability of the model. For example, the accuracy of ASTHP model on MIMIC-II dataset is improved by nearly 3 percentage points, and the model fitting degree and stability are also improved significantly.","PeriodicalId":50283,"journal":{"name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75156014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0