Iranian Journal of Fuzzy Systems最新文献_第9页

Synchronization of BAM Cohen--Grossberg FCNNs with mixed time delays 混合时延下BAM Cohen- Grossberg fcnn的同步

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-04-01 DOI: 10.22111/IJFS.2021.5921

M. Manikandan, K. Ratnavelu, P. Balasubramaniam, S. Ong

引用次数: 2

(2007-6020) A consistency-driven approach to construction of Z-number-valued pairwise comparison matrices (2007-6020)构建z数值两两比较矩阵的一致性驱动方法

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-03-03 DOI: 10.22111/IJFS.2021.6028

R. Aliev, B. Guirimov, O. Huseynov, R. Aliyev

引用次数: 1

(2004-5799) An interactive fuzzy programming approach for a new multi-objective multi-product oil pipeline scheduling problem 一种新的多目标多产品石油管道调度问题的交互式模糊规划方法

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-21 DOI: 10.22111/IJFS.2021.5989

F. K. Goudarzi, H. Maleki, S. Niroomand

{"title":"(2004-5799) An interactive fuzzy programming approach for a new multi-objective multi-product oil pipeline scheduling problem","authors":"F. K. Goudarzi, H. Maleki, S. Niroomand","doi":"10.22111/IJFS.2021.5989","DOIUrl":"https://doi.org/10.22111/IJFS.2021.5989","url":null,"abstract":"In this paper, a new fuzzy multi-objective multi-product pipeline scheduling problem is introduced. The systemconsists of a single refinery, a unique distribution center, and a multi-product pipeline. Restrictions such as batchsizing, discharging rate, forbidden sequences, batch volumetric, etc. are considered. Due to the uncertain nature of real-world problems, some parameters of the system are considered as fuzzy values. Tardiness and earliness penalties are considered with a time dependent non-linear function. The basic aim of this scheduling problem is to achieve the optimal sequence for pumping batches of oil products to maximize the financial benefit and simultaneously sacrifice the customers with on-time delivery as a multi-objective problem. To tackle this problem, a two-stage methodology is proposed. In the first stage, the fuzzy formulation is converted to its equivalent crisp form by a credibility-based chance-constrained programming approach. In the second stage, the multi-objective crisp formulation is solved by some well-known approaches in the literature. Some test problems are generated and solved by the proposed approaches and the obtained Pareto-optimal solutions are analyzed and compared using some distance-based comparison metrics.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"26 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78842708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 4

(2004-5811) Improved fuzzy clustering algorithm using adaptive particle swarm optimization for nonlinear system modeling and identification 基于自适应粒子群优化的模糊聚类算法在非线性系统建模和辨识中的应用

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-21 DOI: 10.22111/IJFS.2021.5987

L. Houcine, Mohamed Bouzbida, A. Chaari

{"title":"(2004-5811) Improved fuzzy clustering algorithm using adaptive particle swarm optimization for nonlinear system modeling and identification","authors":"L. Houcine, Mohamed Bouzbida, A. Chaari","doi":"10.22111/IJFS.2021.5987","DOIUrl":"https://doi.org/10.22111/IJFS.2021.5987","url":null,"abstract":"In this paper, an improved Type2-PCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-PCM-IAPSO is proposed. Firstly, a new clustering algorithm called Type2-PCM is proposed. The Type2-PCM algorithm can solve the problems encountered by fuzzy c-means algorithm (FCM), Gustafson-Kessel algorithm (G-K), possibilistic c-means algorithm (PCM) and NPCM (sensitivity to noise or aberrant points and local minimal sensitivity). . . etc. Secondly, we combined our Type2-PCM algorithm with the improved adaptive particle swarm optimization algorithm (IAPSO) to ensure proper convergence to a local minimum of the objective function. The effectiveness of the two proposed algorithms Type2-PCM and Type2-PCM-IAPSO was tested on a system described by a different equation, Box-Jenkins gas furnace, dryer system and the convection system. The validation tests used showed good performance of these algorithms. However, their average square error test (MSE) shows a better behaviour of the Type2-PCM-IAPSO algorithm compared to the FCM, G-K, PCM, FCM-PSO, Type2-PCM-PSO, RKPFCM and RKPFCM-PSO algorithms.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"83 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90860050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 2

A credibility approach on fuzzy slacks based measure (SBM) DEA model 基于模糊松弛测度(SBM)的DEA模型可信性研究

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-03 DOI: 10.22111/ijfs.2020.31572.5443

D. Mahla, S. Agarwal

引用次数: 1

An advanced decision support framework to assess sustainable transport projects using a new uncertainty modeling tool: Interval-valued Pythagorean trapezoidal fuzzy numbers 使用新的不确定性建模工具:区间值毕达哥拉斯梯形模糊数来评估可持续交通项目的高级决策支持框架

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-01 DOI: 10.22111/IJFS.2021.5871

M. Aghamohagheghi, S. M. Hashemi, R. Tavakkoli-Moghaddam

{"title":"An advanced decision support framework to assess sustainable transport projects using a new uncertainty modeling tool: Interval-valued Pythagorean trapezoidal fuzzy numbers","authors":"M. Aghamohagheghi, S. M. Hashemi, R. Tavakkoli-Moghaddam","doi":"10.22111/IJFS.2021.5871","DOIUrl":"https://doi.org/10.22111/IJFS.2021.5871","url":null,"abstract":"This paper introduces a new decision support framework for transport projects appraisal, which is based on the multi-criteria decision analysis (MCDA) and the cost-benefit analysis (CBA) to address both monetary and non-monetary characteristics of the problem at the same time. Substantial inaccuracies are present while obtaining non-monetary and monetary inputs to the MCDA and the CBA, respectively. To provide the MCDA part of the framework with uncertainty, an interval-valued Pythagorean fuzzy set (IVPFS) is used as an attractive uncertain modeling tool. Additionally, a new multi-attribute group decision-making (MAGDM) method with partially known attribute weights and unknown expert weights under the IVPFS environment is proposed to find the best sustainable transport project from the non-monetary criteria point of view. Furthermore, a novel uncertainty modeling tool, namely an interval-valued Pythagorean trapezoidal fuzzy set, is introduced to address ill-known quantities and inaccuracies that exist in the estimation of monetary impacts. Finally, this framework is used to handle a real case study of a complex decision process of finding the best transport project to fund several candidate projects. This approach has made it possible to handle the decision process from economic, social, environmental points of view at the same time. The result of this case study shows that the decision-making framework can be used as a valuable decision support tool. Moreover, it is shown that the presented framework can be applied to effectively support appraisals of transport projects.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"20 1","pages":"53-73"},"PeriodicalIF":1.8,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80801010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 10

Fuzzy closure operators and their applications 模糊闭包算子及其应用

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-01 DOI: 10.22111/IJFS.2021.5873

S. W. Han, R. R. Wang

引用次数: 0

The cross-migrativity equation with respect to semi-t-operators 关于半t算子的交叉迁移方程

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-01 DOI: 10.22111/IJFS.2021.5869

Y. Y. Zhao, F. Qin

引用次数: 1

A new algorithm for geometric optimization with a single-term exponent constrained by bipolar fuzzy relation equations 双极模糊关系方程约束下单项指数几何优化的新算法

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-01 DOI: 10.22111/IJFS.2021.5879

Samaneh Aliannezhadi, Ali Abbasi Molai

引用次数: 1

Hybrid data compression using fuzzy logic and Huffman coding in secure IOT 安全物联网中使用模糊逻辑和霍夫曼编码的混合数据压缩

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-02-01 DOI: 10.22111/IJFS.2021.5875

S. Nosratian, M. Moradkhani, M. Tavakoli

{"title":"Hybrid data compression using fuzzy logic and Huffman coding in secure IOT","authors":"S. Nosratian, M. Moradkhani, M. Tavakoli","doi":"10.22111/IJFS.2021.5875","DOIUrl":"https://doi.org/10.22111/IJFS.2021.5875","url":null,"abstract":"Research in the area of Internet of things (IoT) and cloud computing has gained a considerable attention in today's world of information technology (IT). Data compression and security are increasingly appreciated due to their imperative roles in online data sharing and transfer in multimedia networks. Hence, image compression is focused on reducing data redundancy and saving memory and transmission bandwidth. Because of the increased entropy of coded images, it is difficult to reduce the amount of lossless information after encryption using the existing methods. Accordingly, using the hybrid Huffman coding algorithm, it is possible to guarantee the security and verification of information. Therefore, an efficient compression method is proposed that combines fuzzy logic with Huffman coding. In this method, coding is based on Hoffman code, which is statistically independent and defines fuzzy logic-based weighting functions for the frequency of the existing symbols in data to generate efficient code for compression. Fuzzy logic is then coded to provide a secure information mapping on the information codes. In this proposed system, the key information is coded using the special key of that information and the data is embedded using the data encryption key and data in the receiver are decoded using the same key. Here, different compression techniques are compared with Huffman coding. The simulation is performed under matlab2017b software. The results show that a good compression rate is achieved, there is no significant difference between the decoded and original images and compression ratio in the image is increased to over 40%.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"52 1","pages":"101-116"},"PeriodicalIF":1.8,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76397957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 1