发布求助
文献互助 智能选刊 最新文献

Advances in Fuzzy Systems最新文献

筛选
英文 中文
Usage of the Fuzzy Adomian Decomposition Method for Solving Some Fuzzy Fractional Partial Differential Equations 利用模糊阿多米分解法求解若干模糊微分偏微分方程
IF 1.3
Advances in Fuzzy Systems Pub Date : 2024-01-05 DOI: 10.1155/2024/8794634
Nagwa A. Saeed, D. Pachpatte
{"title":"Usage of the Fuzzy Adomian Decomposition Method for Solving Some Fuzzy Fractional Partial Differential Equations","authors":"Nagwa A. Saeed, D. Pachpatte","doi":"10.1155/2024/8794634","DOIUrl":"https://doi.org/10.1155/2024/8794634","url":null,"abstract":"In this study, we examine the numerical solutions of nonlinear fuzzy fractional partial differential equations under the Caputo derivative utilizing the technique of fuzzy Adomian decomposition. This technique is used as an alternative method for obtaining approximate fuzzy solutions to various types of fractional differential equations and also investigated some new existence and uniqueness results of fuzzy solutions. Some examples are given to support the effectiveness of the proposed technique. We present the numerical results in graphical form for different values of fractional order and uncertainty γ∈0,1.","PeriodicalId":45308,"journal":{"name":"Advances in Fuzzy Systems","volume":"33 50","pages":""},"PeriodicalIF":1.3,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139382726","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
Application of Fuzzy Case-Based Reasoning and Fuzzy Analytic Hierarchy Process for Machining Cutter Planning and Control 基于模糊案例推理和模糊层次分析法在刀具规划控制中的应用
Advances in Fuzzy Systems Pub Date : 2023-10-13 DOI: 10.1155/2023/8072930
Fentahun Moges Kasie, Glen Bright
{"title":"Application of Fuzzy Case-Based Reasoning and Fuzzy Analytic Hierarchy Process for Machining Cutter Planning and Control","authors":"Fentahun Moges Kasie, Glen Bright","doi":"10.1155/2023/8072930","DOIUrl":"https://doi.org/10.1155/2023/8072930","url":null,"abstract":"Cutter planning and control are the crucial problems in machining processes. The current literature indicates that the issue of cutter planning and control problem was not adequately researched in the past in a metal-cutting process. Usually, cutter planning and control problems were addressed using different optimization, simulation, and computer-aided planning (CAP) methods. To bridge this knowledge gap, this study proposed a decision support system (DSS) that can integrate fuzzy case-based reasoning (F-CBR) and fuzzy analytic hierarchy process (F-AHP) methods. This integration was applied to determine hybrid similarity measures between new and prior cases. The study provides new insights into the integration of fuzzy set theory (FST), CBR, and AHP for solving machining cutter planning and control problems. Our proposed system retrieves the best similar prior cases to reuse and adapt them to new order arrivals. A numerical example was illustrated to validate the soundness of the researched DSS.","PeriodicalId":45308,"journal":{"name":"Advances in Fuzzy Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135917936","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
Research on fuzzy control based flexible composite winding system 基于模糊控制的柔性复合卷绕系统研究
IF 1.3
Advances in Fuzzy Systems Pub Date : 2016-01-01 DOI: 10.1155/2016/7181706
Xiaodong He, Yaoyao Shi, K. Chao
{"title":"Research on fuzzy control based flexible composite winding system","authors":"Xiaodong He, Yaoyao Shi, K. Chao","doi":"10.1155/2016/7181706","DOIUrl":"https://doi.org/10.1155/2016/7181706","url":null,"abstract":"In the process of composite resin prepreg tape winding, the presence of pores or voids among the layers of composite can result in reduced strength of winding. To alleviate this problem, it is required that the composite tape winding machines be designed such that the layers of composite are evenly wound on the previous one. The paper presents a novel design of flexible winding system for composite tape winding. Based on the analysis of errors in winding process, the novel winding system eliminates winding point error and winding angle error based on the speed controlled flexible roller. This paper also presents the kinetic analysis of the novel system and its controller design. Experiments are conducted on the novel winding system. The experimental results illustrate that the novel flexible winding system has a good performance in winding accuracy.","PeriodicalId":45308,"journal":{"name":"Advances in Fuzzy Systems","volume":"2016 1","pages":"1-8"},"PeriodicalIF":1.3,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2016/7181706","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64509172","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: 2
Quantitative analyses and development of a q -incrementation algorithm for FCM with tsallis entropy maximization 基于tsallis熵最大化的FCM q增量算法的定量分析与开发
IF 1.3
Advances in Fuzzy Systems Pub Date : 2015-01-01 DOI: 10.1155/2015/404510
M. Yasuda
{"title":"Quantitative analyses and development of a q -incrementation algorithm for FCM with tsallis entropy maximization","authors":"M. Yasuda","doi":"10.1155/2015/404510","DOIUrl":"https://doi.org/10.1155/2015/404510","url":null,"abstract":"Tsallis entropy is a q-parameter extension of Shannon entropy. By extremizing the Tsallis entropy within the framework of fuzzy c-means clustering (FCM), a membership function similar to the statistical mechanical distribution function is obtained. The Tsallis entropy-based DA-FCM algorithm was developed by combining it with the deterministic annealing (DA) method. One of the challenges of this method is to determine an appropriate initial annealing temperature and a q value, according to the data distribution. This is complex, because the membership function changes its shape by decreasing the temperature or by increasing q. Quantitative relationships between the temperature and q are examined, and the results showthat, in order to change uikq equally, inverse changes must be made to the temperature and q. Accordingly, in this paper, we propose and investigate two kinds of combinatorial methods for q-incrementation and the reduction of temperature for use in the Tsallis entropy-based FCM. In the proposed methods, q is defined as a function of the temperature. Experiments are performed using Fisher's iris dataset, and the proposed methods are confirmed to determine an appropriate q value in many cases.","PeriodicalId":45308,"journal":{"name":"Advances in Fuzzy Systems","volume":"2015 1","pages":"10"},"PeriodicalIF":1.3,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2015/404510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64945758","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: 2
Fuzzy-Based Torque Ripple Optimization and Digitalized Sector Selection in DTC Scheme 基于模糊的转矩脉动优化及直接转矩控制方案的数字化扇区选择
IF 1.3
Advances in Fuzzy Systems Pub Date : 2015-01-01 DOI: 10.1007/978-81-322-2119-7_85
D. Deenadayalan, I. A. Beski
{"title":"Fuzzy-Based Torque Ripple Optimization and Digitalized Sector Selection in DTC Scheme","authors":"D. Deenadayalan, I. A. Beski","doi":"10.1007/978-81-322-2119-7_85","DOIUrl":"https://doi.org/10.1007/978-81-322-2119-7_85","url":null,"abstract":"","PeriodicalId":45308,"journal":{"name":"Advances in Fuzzy Systems","volume":"62 2 1","pages":"873-881"},"PeriodicalIF":1.3,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87738065","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信