Iranian Journal of Fuzzy Systems最新文献_第6页

Construction methods for triangular norms and triangular conorms on appropriate bounded lattices 适当有界格上三角范数和三角形的构造方法

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6083

Emel Asici

引用次数: 5

Milstein method for solving fuzzy differential equation 求解模糊微分方程的Milstein方法

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6086

L. Y. Ji, C. L. You

引用次数: 2

Using a fuzzy expert system as a decision support system to decrease time consumption in the UAST development process: A case study 利用模糊专家系统作为决策支持系统减少UAST开发过程中的时间消耗:一个案例研究

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6079

A. A. Esboei, M. Gavareshki

{"title":"Using a fuzzy expert system as a decision support system to decrease time consumption in the UAST development process: A case study","authors":"A. A. Esboei, M. Gavareshki","doi":"10.22111/IJFS.2021.6079","DOIUrl":"https://doi.org/10.22111/IJFS.2021.6079","url":null,"abstract":"Always the decision of the government to the private sector is faced with the challenges and high level of importance, because these decisions should be taken at the meeting of standards and functional requirements to overcome investors' interests. These decisions include education, and due to the governance nature of education and the governments' strategies in this area, the private sectors who act in it, have been affected by the consequences of different decisions. In this paper, our motivation is to propose a system to decide on how to develop applied academic educations at the Applied ScienceEducation Centers (ASEC's) which are supervised by the University of Applied Science and Technology (UAST) in Iran. The method used is theFuzzy Inference System (FIS) to reach this goal. The model performed in this study consists of a two-part FIS for two purposes straight ahead.The first concerns the quantitative development of higher applied education, including the number of Course Request (CR) for each ASEC with 4 inputs and 242 rules. The latter, is related to the qualitative development of higher applied education, including the assessment of the capability and competence of each ASEC for specific CR with the course and student admission background, specialty, committee's and council’s opinion, and frequency of course in city or province with 9 inputs, 350 rules, and an output. Each section has its inputs and rules that are determined and used by experts in this domain. Our results show that using this method, provides some cost and time savings. This model analyzes in less than 2 minutes, while in practice it could be gain within 1650 person /hours work in different committees that all of them have their costs. Also, results are very close to reality with the advantage that there is no way to apply personal preferences, which largely meets the needs of research.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"52 1","pages":"27-38"},"PeriodicalIF":1.8,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90662404","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 bilateral fuzzy support vector machine hybridizing the Gaussian mixture model 一种双边模糊支持向量机混合高斯混合模型

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6088

M. Mohammadi, M. Sarmad

{"title":"A bilateral fuzzy support vector machine hybridizing the Gaussian mixture model","authors":"M. Mohammadi, M. Sarmad","doi":"10.22111/IJFS.2021.6088","DOIUrl":"https://doi.org/10.22111/IJFS.2021.6088","url":null,"abstract":"The fuzzy support vector machine is one of the most exceptional methods to deal with uncertainty in the classification problem. The membership function is a proper way to model uncertainty. The goal of the membership function is to distinguish the different points in terms of their importance. The ordinary design of the membership function relies on the distance of the observations to the class center. However, the class center is affected by the presence of outliers. To prevent this effect, we utilized an unsupervised learning method called the Gaussian mixture model in the structure of the membership function. The proposed membership function is presented in two different categories distance-based and Bayes-based. Unlike the classical membership function, the contribution of outliers in the training phase decreased by diminishing their degree of importance. Hybridizing the classic fuzzy support vector machine classifier with the Gaussian mixture model will enhance the classification accuracy and also will prevent overfitting problems. The superiority of the proposed methods assessed by the synthetic and benchmarking dataset. The statistical significance is assessed by using the non-parametric Friedman and post-hoc Nemenyi tests.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"14 1","pages":"161-177"},"PeriodicalIF":1.8,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75476948","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

New results on the migrativity properties for overlap (grouping) functions and uninorms 重叠(分组)函数和一致函数迁移性的新结果

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6085

W. Li, F. Qin

引用次数: 0

C-continuous fuzzy posets c -连续模糊集

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6082

Y. Zhang, Bin Zhao

引用次数: 0

Fuzzy logic and enriched categories 模糊逻辑和丰富的范畴

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-06-01 DOI: 10.22111/IJFS.2021.6077

S. Dautovic, M. Zekic

引用次数: 0

(2007-6024) Ranking of generalized fuzzy numbers based on accuracy of comparison (2007-6024)基于比较精度的广义模糊数排序

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-05-17 DOI: 10.22111/IJFS.2021.6164

M. A. Firozja, F. R. Balf, B. Agheli, R. Chutia

{"title":"(2007-6024) Ranking of generalized fuzzy numbers based on accuracy of comparison","authors":"M. A. Firozja, F. R. Balf, B. Agheli, R. Chutia","doi":"10.22111/IJFS.2021.6164","DOIUrl":"https://doi.org/10.22111/IJFS.2021.6164","url":null,"abstract":"Ranking generalized fuzzy numbers plays an important role in many applied models and, in particular, decision-making procedures. In ranking process of two generalized fuzzy numbers, it is natural to compare the sets of values in support of two the generalised fuzzy numbers. Accordingly, the comparison of a real number and a generalised fuzzy number as well as two generalised fuzzy numbers have to be considered. On the other hand, it is seen that a definitive process of comparison of a real number and a generalised fuzzy number, as well as two generalised fuzzy numbers, is not possible. So in this study, a method for comparing a real number and a generalised fuzzy number with a degree of accuracy (between a zero and one) is defined and then the method is generalized to compare two generalised fuzzy numbers. In general, an index to rank a real number and generalised fuzzy number is constructed. Eventually, this index is extended to rank two generalised fuzzy numbers based on the concept of accuracy of comparison. The advantage of our method is that it can compare two generalised fuzzy numbers with an accuracy of comparison. Also, a definition is introduced to make a definitive comparison. Finally, the proposed method is illustrated by some numerical examples.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"26 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91282383","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

(2011-6279) Structural topology in a category (2011-6279)一类的结构拓扑

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-05-17 DOI: 10.22111/IJFS.2021.6167

S. Hosseini, R. Amini

引用次数: 0

(1912-5600) Type 2 adaptive fuzzy control approach applied to variable speed DFIG based wind turbines with MPPT algorithm (1912-5600)基于MPPT算法的2型自适应模糊控制方法应用于变速DFIG型风力发电机组

IF 1.8 4区数学

Iranian Journal of Fuzzy Systems Pub Date : 2021-05-17 DOI: 10.22111/IJFS.2021.6166

S. Hosseini, M. Manthouri

{"title":"(1912-5600) Type 2 adaptive fuzzy control approach applied to variable speed DFIG based wind turbines with MPPT algorithm","authors":"S. Hosseini, M. Manthouri","doi":"10.22111/IJFS.2021.6166","DOIUrl":"https://doi.org/10.22111/IJFS.2021.6166","url":null,"abstract":"In this research, a Type 2 adaptive fuzzy controller approach is formulated and designed to be applied to variable speed doubly fed induction generator-based wind turbines directly connected to the grid. It brings this study to evaluate the whole operation of the system to capture the highest rate of power in the wind turbines. The controlling approach is considered to keep the stator reactive power to the ideal value. In contrast to the other researches, here the controlling technique is developed through the nonlinear systems. By the aim of making progress in system operation, in contrast with the Type 1 adaptive fuzzy system, type two adaptive fuzzy theory is proposed to approximate a large number of uncertainties and the dynamic nonlinearities, exists in tracking errors which may limit the system performance. Feedback linearization control approach helps us to algebraically alter the system into a linearized plant. Thanks to the Lyapunov theorem, the introduced type two adaptive fuzzy approach is proved to meet the uniformly ultimately boundness (UUB) property. On the other hand, it results better tracking function. The simulation outputs represent that the proposed technique is robust enough in presence of parameter variations and unstructured uncertainties.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":"25 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77212270","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: 3