Tingting Wang , Wenwen Zong , Yong Su , Radko Mesiar
{"title":"Abstractly homogeneous aggregation functions with respect to a given continuous t-norm","authors":"Tingting Wang , Wenwen Zong , Yong Su , Radko Mesiar","doi":"10.1016/j.fss.2025.109283","DOIUrl":"10.1016/j.fss.2025.109283","url":null,"abstract":"<div><div>The homogeneity and its extensions reflect the regularity of aggregation functions with respect to the inputs with the same ratio and play an essential role in decision making, economics and image processing. In this paper, the relationships among generalized homogeneities and characterizations of abstractly homogeneous aggregation functions with respect to a given continuous t-norm are presented.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109283"},"PeriodicalIF":3.2,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181036","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}
Ping Li , Jufang Yang , Yongming Li , Chao Yang , Wenyu Xue
{"title":"Algebraic properties of approximate bisimulation relations for fuzzy automata","authors":"Ping Li , Jufang Yang , Yongming Li , Chao Yang , Wenyu Xue","doi":"10.1016/j.fss.2025.109278","DOIUrl":"10.1016/j.fss.2025.109278","url":null,"abstract":"<div><div>The paper introduces <em>ε</em>-bisimulation relation, surjective <span><math><mi>L</mi></math></span>-functional <em>ε</em>-bisimulation relation, surjective functional <em>ε</em>-bisimulation relation, bijective functional <em>ε</em>-bisimulation relation and <em>ε</em>-isomorphism from fuzzy automata <span><math><mi>A</mi></math></span> to <span><math><mi>B</mi></math></span> by fuzzy matrices. Then it is proved that the behavior of a fuzzy automaton <span><math><mi>A</mi></math></span> differs from the behavior of a fuzzy automaton <span><math><mi>B</mi></math></span> by at most <em>ε</em> if there exists a <em>ε</em>-bisimulation relation between them. In particular, if there exists a surjective <span><math><mi>L</mi></math></span>-functional <em>ε</em>-bisimulation relation between them, we give a more concise proof of above conclusion by fuzzy matrices. Moreover, the notion of <em>ε</em>-bisimulation equivalence relation on a fuzzy automaton is given by fuzzy matrices. Based on two different constructions of quotient fuzzy automata, the relationships between <em>ε</em>-bisimulation relations and <em>ε</em>-bisimulation equivalence relations and the <em>ε</em>-Isomorphism theorems of quotient fuzzy automata are given.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109278"},"PeriodicalIF":3.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181059","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}
Xiyan Cao , Fucai Lin , Wen Sun , Jinjin Li , Peijin Lin
{"title":"A note on knowledge structures delineated by fuzzy skill multimaps","authors":"Xiyan Cao , Fucai Lin , Wen Sun , Jinjin Li , Peijin Lin","doi":"10.1016/j.fss.2025.109282","DOIUrl":"10.1016/j.fss.2025.109282","url":null,"abstract":"<div><div>Fuzzy skill multimaps can describe individuals' knowledge states from the perspective of latent cognitive abilities. A discriminative knowledge structure is reducing redundant items to vary the test with the aim of lightening the workload for students, and the bi-discriminative knowledge structure is useful for evaluating ‘relative independence’ items or knowledge points. Moreover, it is highly significant to determine the type of fuzzy skill multimap that delineates a discriminative or bi-discriminative knowledge structure. Additionally, we provide a characterization of fuzzy skill multimaps in order to delineate knowledge spaces, learning spaces and simple closure spaces respectively. Furthermore, there are some interesting applications in the meshing of the delineated knowledge structures and the distributed fuzzy skill multimaps. We also give a more precise analysis regarding the separability (resp. bi-separability) on which condition the information collected within a local assessment can reflect an assessment at the global level, and which condition any of the local domains can localize from given global assessment.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109282"},"PeriodicalIF":3.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181644","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}
{"title":"Output synchronization in fixed/preassigned-time of T-S fuzzy multilayered networks","authors":"Yuhua Gao , Cheng Hu , Juan Yu","doi":"10.1016/j.fss.2025.109279","DOIUrl":"10.1016/j.fss.2025.109279","url":null,"abstract":"<div><div>Considering the function diversity of individuals in the actual system, the uncertainty and fuzziness in modeling network dynamics, a class of T-S fuzzy multilayered networks is concerned in this article, and the fixed/preassigned-time output synchronization is explored to overcome the immeasurability of node states. Firstly, to remove the connectivity restriction of network topology, the synchronous state, which can be any specified smooth orbit, is added to the original network as a virtual individual. Subsequently, a type of continuous fuzzy control law is developed to realize fixed/preassigned-time output synchronization for multilayered networks, and several synchronization criteria are gained based on fixed-time stability theory and inequality technique. Notice that the link between the estimate of settling-time and the number of network layers is revealed, and the restriction on the output matrix is largely weakened compared to some previous researches. Lastly, the proposed fuzzy control schemes and output synchronization criteria are verified by numerical simulations and are applied to signal security communication, in which the robustness and sensitivity of the developed control method are analyzed.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109279"},"PeriodicalIF":3.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181645","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}
{"title":"A categorical equivalence between Q-domains and interpolative generalized Q-closure spaces","authors":"Guojun Wu , Wei Yao , Qingguo Li","doi":"10.1016/j.fss.2025.109280","DOIUrl":"10.1016/j.fss.2025.109280","url":null,"abstract":"<div><div>With a commutative unital quantale <span><math><mi>Q</mi></math></span> as the truth value table, this study focuses on representations of <span><math><mi>Q</mi></math></span>-domains by means of generalized <span><math><mi>Q</mi></math></span>-closure spaces. First, the notions of interpolative generalized <span><math><mi>Q</mi></math></span>-closure spaces and directed closed sets are introduced. It is proved that for an interpolative generalized <span><math><mi>Q</mi></math></span>-closure space (resp., a <span><math><mi>Q</mi></math></span>-closure space), the collection of directed closed sets with respect to the inclusion <span><math><mi>Q</mi></math></span>-order forms a continuous <span><math><mi>Q</mi></math></span>-dcpo (resp., an algebraic <span><math><mi>Q</mi></math></span>-dcpo). Conversely, it is shown that every continuous <span><math><mi>Q</mi></math></span>-dcpo (resp., algebraic <span><math><mi>Q</mi></math></span>-dcpo) can be reconstructed from an interpolative generalized <span><math><mi>Q</mi></math></span>-closure space (resp., a <span><math><mi>Q</mi></math></span>-closure space). Second, the notion of dense subspaces of generalized <span><math><mi>Q</mi></math></span>-closure spaces is provided. By means of dense subspaces, an alternative representation for algebraic <span><math><mi>Q</mi></math></span>-dcpos is given. Furthermore, the notion of approximable <span><math><mi>Q</mi></math></span>-relations between interpolative generalized <span><math><mi>Q</mi></math></span>-closure spaces is introduced. Consequently, a categorical equivalence is established between the category of interpolative generalized <span><math><mi>Q</mi></math></span>-closure spaces (resp., <span><math><mi>Q</mi></math></span>-closure spaces) with approximable <span><math><mi>Q</mi></math></span>-relations and that of continuous <span><math><mi>Q</mi></math></span>-dcpos (resp., algebraic <span><math><mi>Q</mi></math></span>-dcpos) with Scott continuous mappings.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109280"},"PeriodicalIF":3.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181056","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}
A.F. Roldán López de Hierro , A. Cruz , R.H.N. Santiago , C. Roldán , D. García-Zamora , F. Neres , H. Bustince
{"title":"Fuzzy dissimilarities and the fuzzy Choquet integral of triangular fuzzy numbers on [0,1]","authors":"A.F. Roldán López de Hierro , A. Cruz , R.H.N. Santiago , C. Roldán , D. García-Zamora , F. Neres , H. Bustince","doi":"10.1016/j.fss.2025.109277","DOIUrl":"10.1016/j.fss.2025.109277","url":null,"abstract":"<div><div>Having in mind the huge amount of data daily registered in the world, it is becoming increasingly important to summarize the information included in a data set. In Statistics and Computer Science, this task is successfully carried out by aggregation functions. One of the most widely applied methodologies of aggregating data is the Choquet integral. The main aim of this paper is to introduce an appropriate notion of Choquet integral in the context of fuzzy numbers. To do this, we face three challenges: the underlying uncertainty when handling fuzzy numbers, the way to order fuzzy numbers by appropriate binary relations and the way to compute the dissimilarity among fuzzy numbers. Illustrative examples are given by involving the <em>α</em>-order on the family of all triangular fuzzy numbers with support on <span><math><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></math></span>.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109277"},"PeriodicalIF":3.2,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181058","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}
{"title":"Algebraic structure of the Gaussian-PDMF space and applications on fuzzy equations","authors":"Chuang Zheng","doi":"10.1016/j.fss.2025.109281","DOIUrl":"10.1016/j.fss.2025.109281","url":null,"abstract":"<div><div>In this paper, we extend the research presented in <span><span>[26]</span></span> by establishing the algebraic structure of the Gaussian Probability Density Membership Function (Gaussian-PDMF) space. We provide the explicit form of the membership function. Under the assumptions that all membership functions belongs to Gaussian-PDMF space, each fuzzy number can be uniquely identified by a vector. We introduce five operators: addition, subtraction, multiplication, scalar multiplication, and division. We demonstrate that, based on our definitions, the Gaussian-PDMF space exhibits a well-defined algebraic structure. For instance, it is a vector space over real numbers, featuring a subset that forms a division ring, allowing for the representation of fuzzy polynomials, among other properties. We provide several examples to illustrate our theoretical results.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109281"},"PeriodicalIF":3.2,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181060","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}
Haitao Gan, Zhi Yang, Ming Shi, Zhiwei Ye, Ran Zhou
{"title":"Improved safe semi-supervised clustering based on capped ℓ21 norm","authors":"Haitao Gan, Zhi Yang, Ming Shi, Zhiwei Ye, Ran Zhou","doi":"10.1016/j.fss.2025.109276","DOIUrl":"10.1016/j.fss.2025.109276","url":null,"abstract":"<div><div>In recent years, the concept of safe semi-supervised clustering (S3C) has received increasing attention within the semi-supervised learning community. Generally, existing S3C methods first analyze the risk of labeled instances and then try to mitigate the corresponding negative impacts through various risk-based regularization approaches. However, the adverse effects of high-probability mislabeled instances (HPMIs) are not eliminated, and corresponding useful discriminative information is not discovered effectively. To address these issues, we propose an improved S3C method based on capped <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>21</mn></mrow></msub></math></span> norm, called CapS3FCM. The motivation is that the capped <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>21</mn></mrow></msub></math></span> norm can effectively filter or find mislabeled instances. Consequently, CapS3FCM introduces two capped <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>21</mn></mrow></msub></math></span> norms. The first norm aims to make use of label information while simultaneously alleviating negative influences of mislabeled instances, especially HPMIs. The second norm further aims to discover useful discriminative information of those HPMIs. Finally, a loss function based on the capped <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>21</mn></mrow></msub></math></span> norms is built, and the optimization problem is solved using an efficient iterative optimization strategy. To verify the effectiveness of CapS3FCM, a series of experiments is carried out on several datasets, which demonstrate that CapS3FCM can outperform the other semi-supervised and S3C methods. These findings validate that the capped <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>21</mn></mrow></msub></math></span> norm is both practical and effective.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109276"},"PeriodicalIF":3.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181061","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}
{"title":"On completion of principal fuzzy metric spaces","authors":"Changqing Li , Yanlan Zhang","doi":"10.1016/j.fss.2024.109261","DOIUrl":"10.1016/j.fss.2024.109261","url":null,"abstract":"<div><div>In this note, we answer an open question, which is related to completion of principal fuzzy metric spaces in the sense of George and Veeramani, proposed by Gregori et al. (2012) <span><span>[5]</span></span>. We give a negative answer to such a question by means of an example.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109261"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182380","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}
{"title":"Weak and strong convergence analysis of fully complex-valued high-order TSK model","authors":"Yan Liu , Fang Liu , Qiang Shao","doi":"10.1016/j.fss.2025.109272","DOIUrl":"10.1016/j.fss.2025.109272","url":null,"abstract":"<div><div>The higher-order Takagi-Sugeno-Kang (TSK) model, renowned for its interpretability, adaptability, robustness, and ease of training, has been extensively utilized in fuzzy inference and modeling. However, there has been a noticeable scarcity of studies exploring its counterparts in the complex-valued domain, particularly employing fully complex-valued mechanisms. Therefore, this paper introduced an adaptive fully complex-valued fuzzy inference system (AFCFIS). Leveraging Wirtinger calculus, the paper found partial derivatives and updated the network weights according to the gradient descent method, which was easily solved due to the fully complex-valued learning mechanism. Furthermore, the paper provided convergence results of the proposed algorithm under mild conditions. Finally, numerical simulations verified the convergence of AFCFIS, and demonstrated its good performance in both real and complex domain tasks, as well as both regression and classification tasks.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"505 ","pages":"Article 109272"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181062","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}