Fuzzy Sets and Systems最新文献_第10页

FNCEOD: Fuzzy neighborhood combination entropy-based outlier detection 基于模糊邻域组合熵的离群点检测

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-03-01 Epub Date: 2025-11-17 DOI: 10.1016/j.fss.2025.109683

Qian Hu , Jiapeng Bai , Jun Zhang , Yafei Song , Jusheng Mi

{"title":"FNCEOD: Fuzzy neighborhood combination entropy-based outlier detection","authors":"Qian Hu , Jiapeng Bai , Jun Zhang , Yafei Song , Jusheng Mi","doi":"10.1016/j.fss.2025.109683","DOIUrl":"10.1016/j.fss.2025.109683","url":null,"abstract":"<div><div>Outlier detection, as an important direction of data mining, aims to identify data objects that deviate from normal patterns and is widely used in fields such as financial fraud, network security, and medical diagnosis. Functioning as an essential tool in knowledge acquisition and data mining, granular computing provides a novel framework that emulates human cognitive patterns for resolving large-scale complex problems. However, traditional outlier detection methods based on granular computing are difficult to balance data diversity and fuzziness. Therefore, this article constructs an outlier detection model based on fuzzy neighborhood combination entropy using neighborhood fuzzy granules and combination entropy. Firstly, the fuzzy neighborhood combination entropy of the information system is defined, and the relative fuzzy neighborhood combination entropy of the object is defined by the change in neighborhood fuzzy entropy caused by the object. Secondly, the relative fuzzy cardinality of the object is defined by the difference degree between its fuzzy neighborhoods, and the anomaly factor of the object is measured by its relative fuzzy neighborhoods combination entropy and relative fuzzy cardinality. Then, an outlier detection model based on the combination entropy of fuzzy neighborhoods is constructed and the relevant algorithm is designed. Finally, the effectiveness and efficiency of the proposed method were verified through publicly available datasets.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"526 ","pages":"Article 109683"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reinforcement learning-based stochastic structurally-sparse sliding mode control for IT-2 T-S fuzzy interconnected multi-area power system 基于强化学习的it - 2t -s模糊互联多区域电力系统随机结构稀疏滑模控制

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-03-01 Epub Date: 2025-11-11 DOI: 10.1016/j.fss.2025.109675

Shengda Tang , Zihan Chen , Hai Wang , Jun Cheng

{"title":"Reinforcement learning-based stochastic structurally-sparse sliding mode control for IT-2 T-S fuzzy interconnected multi-area power system","authors":"Shengda Tang , Zihan Chen , Hai Wang , Jun Cheng","doi":"10.1016/j.fss.2025.109675","DOIUrl":"10.1016/j.fss.2025.109675","url":null,"abstract":"<div><div>This article develops a novel fuzzy stochastic structurally-sparse sliding mode control (FS<sup>4</sup>MC) scheme for the malicious attacks-injected interconnected multi-area power systems (IMAPSs). In response to the nonlinear characteristics of valve position deviation and the uncertain switching feature of the inter-area feedback communication network (FCN), an interval type-2 (IT-2) Takagi-Sugeno (T-S) fuzzy IMAPS model with the Markov jump structurally-sparse FCN topology is established. Subsequently, FS<sup>4</sup>MC compensation strategy is developed for this model to counteract the impact of attack signals, ensuring the finite-time reachability of the ideal sliding surface and the stochastic stability of the IT-2 T-S fuzzy IMAPS with switching FCN topology. On the other hand, since the FS<sup>4</sup>MC scheme design relies on IMAPS dynamics, which is frequently unavailable, a data-centric algorithm is developed to compute this scheme without requiring either model information or an initially stabilizing policy pair. Finally, the case study on a three-area IMAPS demonstrates the effectiveness of the proposed method.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"526 ","pages":"Article 109675"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractional-order ultra-local model-based direct adaptive fuzzy sliding mode control for mechatronic systems with mismatched disturbances and input nonlinearities 含失匹配干扰和输入非线性的机电系统分数阶超局部模型直接自适应模糊滑模控制

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-03-01 Epub Date: 2025-11-08 DOI: 10.1016/j.fss.2025.109674

Dingxin He , Haoping Wang , Yang Tian , Minxuan Zha , Radu-Emil Precup

{"title":"Fractional-order ultra-local model-based direct adaptive fuzzy sliding mode control for mechatronic systems with mismatched disturbances and input nonlinearities","authors":"Dingxin He , Haoping Wang , Yang Tian , Minxuan Zha , Radu-Emil Precup","doi":"10.1016/j.fss.2025.109674","DOIUrl":"10.1016/j.fss.2025.109674","url":null,"abstract":"<div><div>Aiming at the trajectory tracking problem of the mechatronic systems in the presence of uncertainties, matched and mismatched disturbances, and input nonlinearities, a fractional-order <em>ultra-local model</em>-based direct adaptive fuzzy controller (FO-DAFC) is proposed in this paper. To reduce the difficulty of controller design, the fractional-order <em>ultra-local model</em> is constructed to reformulate the complex mechatronic system. Then, a global sliding surface is proposed to eliminates the reaching phase and ensures the global robustness. Furthermore, an ideal global sliding mode controller is designed to converge the tracking error. However, the unknown and unmeasured parameters are existed in the ideal controller. The fuzzy logic system is thus established to approximate the ideal control law. And the fuzzy weight adaptive law is designed by using gradient descent method. Correspondingly, the direct adaptive fuzzy controller is proposed. After that, the stability of the closed-loop system with the proposed FO-DAFC is analyzed through using Lyapunov theorem. Ultimately, the numerical simulation of 2-DOF robotic manipulator with different input nonlinearities and co-simulation of 4-DOF robotic manipulator compared with other controllers are completed. The obtained results demonstrate the effectiveness and superiority of the proposed controller.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"526 ","pages":"Article 109674"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive neural security control of fuzzy systems with sojourn-probability-Based multi-mode attacks 基于逗留概率的多模式攻击模糊系统的自适应神经安全控制

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-03-01 Epub Date: 2025-11-04 DOI: 10.1016/j.fss.2025.109653

Weiling Bao , Shoucheng Yuan , Dian Zhang , Jun Cheng , Dan Zhang , Yu Fu

{"title":"Adaptive neural security control of fuzzy systems with sojourn-probability-Based multi-mode attacks","authors":"Weiling Bao , Shoucheng Yuan , Dian Zhang , Jun Cheng , Dan Zhang , Yu Fu","doi":"10.1016/j.fss.2025.109653","DOIUrl":"10.1016/j.fss.2025.109653","url":null,"abstract":"<div><div>This paper addresses the challenges of hybrid cyberattacks on fuzzy systems, focusing on observer-based security control strategies enhanced by adaptive neural networks. A generalized multi-mode denial-of-service (DoS) attack model is developed, utilizing a variable matrix to represent diverse attack ranges across multiple communication channels, with sojourn probabilities employed to describe attack stochasticity, thus offering an alternative to traditional Markov models. The study also investigates unknown deception attacks, incorporating an online weight-adjusting neural network to estimate and counteract the adverse effects of these malicious inputs. Furthermore, a dynamic mismatch model framework is introduced to accurately characterize the evolving discrepancies between actual and estimated DoS attack modes, addressing the limitations of prior fixed mismatch assumptions. The findings present a robust foundation for enhancing the resilience of fuzzy systems against hybrid cyberattacks, providing significant implications for future research in network security. On this basis, by using Lyapunov theory, sufficient criteria that guarantee the boundedness of the closed-loop fuzzy system are established. Finally, the effectiveness and the superiority of the designed control strategy are verified by the tunnel diode circuit model.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"526 ","pages":"Article 109653"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty modelling of the nonlinear Black-Scholes equation and decision-making using fuzzy logic 非线性Black-Scholes方程的不确定性建模与模糊决策

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-30 DOI: 10.1016/j.fss.2025.109663

Amal Aarab , Aicha Driouch

引用次数: 0

Global and approximate optimization for constrained max-min systems 约束最大最小系统的全局近似优化

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-22 DOI: 10.1016/j.fss.2025.109654

Weili Yang , Weipeng Liu , Cailu Wang

引用次数: 0

Extended dissimilarities and d-Choquet integral for fuzzy numbers 模糊数的扩展异度与d-Choquet积分

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-25 DOI: 10.1016/j.fss.2025.109652

Diego García-Zamora , Antonio Fco Roldán López De Hierro , Humberto Bustince

引用次数: 0

A generalization of Stone duality of archimedean lattice effect algebras 阿基米德格效应代数的Stone对偶性的推广

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-27 DOI: 10.1016/j.fss.2025.109644

Xin Liu, Yongjian Xie, Mengyuan Zhang

引用次数: 0

On the equivalence classes induced by L-fuzzy rough approximation operators 关于L-fuzzy粗糙逼近算子诱导的等价类

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-30 DOI: 10.1016/j.fss.2025.109662

Chun Yong Wang , Lijuan Wan , Bo Zhang

引用次数: 0

New types of ordinal sums of fuzzy Sheffer strokes and the induced pseudo (quasi)-overlap and grouping functions 模糊Sheffer笔划的新型有序和及其诱导的伪（拟）重叠和分组函数

IF 2.7 1区数学

Fuzzy Sets and Systems Pub Date : 2026-02-15 Epub Date: 2025-10-27 DOI: 10.1016/j.fss.2025.109657

Ting-hai Zhang , Feng Qin , Wenhuang Li , Zhihong Yi

{"title":"New types of ordinal sums of fuzzy Sheffer strokes and the induced pseudo (quasi)-overlap and grouping functions","authors":"Ting-hai Zhang , Feng Qin , Wenhuang Li , Zhihong Yi","doi":"10.1016/j.fss.2025.109657","DOIUrl":"10.1016/j.fss.2025.109657","url":null,"abstract":"<div><div>It is well-established that the Sheffer stroke can independently form a complete logical system, holding unique theoretical significance within classical logic. Recently, scholars have explored the structures and properties of the corresponding fuzzy Sheffer stroke (hereafter referred to as <span><math><mi>FSS</mi></math></span>) within the fuzzy logic framework. This paper introduces two novel types of ordinal sums of <span><math><mi>FSS</mi></math></span>s, which are defined based on whether the <span><math><mi>x</mi></math></span>-coordinate or <span><math><mi>y</mi></math></span>-coordinate of the function lies within the subintervals of the summands. We investigate several important properties of these sums and establish their equivalent characterizations. Furthermore, building upon these two classes of ordinal sum structures, we construct pseudo (quasi)-overlap and grouping functions (abbreviated as <span><math><mrow><mi>P</mi><mi>Q</mi><mi>O</mi><mi>F</mi></mrow></math></span> and <span><math><mrow><mi>P</mi><mi>Q</mi><mi>G</mi><mi>F</mi></mrow></math></span>), and present their associated properties. These constructions provide two effective methods for developing <span><math><mrow><mi>P</mi><mi>Q</mi><mi>O</mi><mi>F</mi></mrow></math></span> and <span><math><mrow><mi>P</mi><mi>Q</mi><mi>G</mi><mi>F</mi></mrow></math></span>, which have broad applications in fuzzy inference and multi-attribute decision-making.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"525 ","pages":"Article 109657"},"PeriodicalIF":2.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0