Fuzzy Information and Engineering最新文献_第9页

Imperialist Competitive Algorithm Optimised Adaptive Neuro Fuzzy Controller for Hybrid Force Position Control of an Industrial Robot Manipulator: A Comparative Study 帝国竞争算法优化自适应神经模糊控制器在工业机械臂混合力位置控制中的比较研究

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-10-01 DOI: 10.1080/16168658.2021.1921378

Himanshu Chaudhary, V. Panwar, N. Sukavanam, Bhawna Chahar

{"title":"Imperialist Competitive Algorithm Optimised Adaptive Neuro Fuzzy Controller for Hybrid Force Position Control of an Industrial Robot Manipulator: A Comparative Study","authors":"Himanshu Chaudhary, V. Panwar, N. Sukavanam, Bhawna Chahar","doi":"10.1080/16168658.2021.1921378","DOIUrl":"https://doi.org/10.1080/16168658.2021.1921378","url":null,"abstract":"Due to the nonlinear nature of the dynamics of a robot manipulator, controlling the robot meticulously is a challenging issue for control engineers. The key purpose of this paper is to provide an accurate intelligent method for refining the functionality of orthodox PID controller in the problem of force/position control of a robot manipulator with unspecified robot dynamics during external disturbances. A grouping of imperialist competitive algorithm (ICA) and adaptive neuro fuzzy logic is applied for the tuning of PID parameters. This, therefore, forms an intelligent structure, adaptive neuro fuzzy inference system with proportional derivative plus integral (ANFISPD + I) controller, which is more precise in definite and indefinite circumstances. To show the efficiency of the proposed method, this algorithm is applied to solve constrained dynamic force/position control problem of PUMA robot manipulator. The simulated results are compared to those achieved from other evolutionary techniques such as Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO). The simulation results exhibit that ICA-based ANFISPD + I outperforms the other evolutionary techniques. Highlights An ICA-ANFISPD + I-based hybrid force/position controller has been proposed. Easy to implement. Works well in the case of disturbances. Actuator Dynamics has been considered. External disturbances have been considered. Robot dynamics are unknown.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"36 1","pages":"435 - 451"},"PeriodicalIF":1.2,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74924080","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

Credit Risk Assessment Using Learning Algorithms for Feature Selection 基于学习算法的特征选择信用风险评估

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-10-01 DOI: 10.1080/16168658.2021.1925021

Z. Hassani, Mohsen Alambardar Meybodi, Vahid Hajihashemi

引用次数: 4

Fuzzy Membership Function Evaluation by Non-Linear Regression: An Algorithmic Approach 非线性回归模糊隶属函数评价的一种算法方法

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-10-01 DOI: 10.1080/16168658.2021.1911567

Rupak Bhattacharyya, S. Mukherjee

引用次数: 2

TOPSIS Method and Similarity Measures Based on Cosine Function Using Picture Hesitant Fuzzy Sets and its Applications to Strategic Decision Making 基于余弦函数的TOPSIS方法和相似性测度及其在战略决策中的应用

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2020.1866853

T. Mahmood, Zeeshan Ahmad, Zeeshan Ali, K. Ullah

{"title":"TOPSIS Method and Similarity Measures Based on Cosine Function Using Picture Hesitant Fuzzy Sets and its Applications to Strategic Decision Making","authors":"T. Mahmood, Zeeshan Ahmad, Zeeshan Ali, K. Ullah","doi":"10.1080/16168658.2020.1866853","DOIUrl":"https://doi.org/10.1080/16168658.2020.1866853","url":null,"abstract":"Picture hesitant fuzzy set (PHFS) is a recently developed tool to cope with uncertain and awkward information in realistic decision issues and is applicable where opinions are of more than two types, i.e., yes, no, abstinence and refusal. Similarity measures (SMs) in a data mining context are distance with dimensions representing features of the objects. Keeping the advantages of the above analysis, in this manuscript, the authors proposed SMs for PHFSs, including cosine SMs for PHFSs, SMs for PHFSs based on cosine function, and SMs for PHFSs based on cotangent function. Further, entropy measure, TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) based on correlation coefficient are investigated for PHFSs. Further, some weighted SMs are also proposed and then applied to the strategic decision-making problem and the results are discussed. Moreover, we take two illustrative examples to compare the established work with existing drawbacks and also show that the existing drawback cannot solve the problem of established work. But on the other hand, the new approach can easily solve the problem of the existing drawback. Finally, the advantages of the new approach are discussed.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"23 1","pages":"277 - 299"},"PeriodicalIF":1.2,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83656401","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: 1

On KM-Fuzzy Metric Hypergraphs 关于km -模糊度量超图

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2020.1867419

M. Hamidi, Sirus Jahanpanah, A. Radfar

引用次数: 3

Integrated Possibilistic Linear Programming with Beta-Skewness Degree for a Fuzzy Multi-Objective Aggregate Production Planning Problem Under Uncertain Environments 不确定环境下模糊多目标总体生产计划问题的具有β偏度的综合可能性线性规划

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2021.1893493

Noppasorn Sutthibutr, N. Chiadamrong

{"title":"Integrated Possibilistic Linear Programming with Beta-Skewness Degree for a Fuzzy Multi-Objective Aggregate Production Planning Problem Under Uncertain Environments","authors":"Noppasorn Sutthibutr, N. Chiadamrong","doi":"10.1080/16168658.2021.1893493","DOIUrl":"https://doi.org/10.1080/16168658.2021.1893493","url":null,"abstract":"This study proposes an improved Fuzzy Programming (FP) approach to optimise multi-objective Aggregate Production Planning (APP) problem under uncertain environments. The proposed approach integrates the concept of Possibilistic Linear Programming (PLP) with Beta-Skewness Degree that decision-makers can manipulate the best level of data fuzziness as well as maintain such fuzziness in the optimisation process (by not turning it to deterministic data too early). The effectiveness of the proposed approach is demonstrated through a case study by minimising the highest overall deviation from the ideal solution of total costs under imprecise operating costs, customer demand, labour level, and machine capacity. Our comparative result clearly shows that the obtained solution outperforms the solutions from traditional defuzzification methods. The proposed approach also helps decision-makers not only to know and optimise the most likely situation, but also realise the outcomes in the optimistic and the pessimistic business situations so that decision makers can prepare and take necessary actions for future uncertainty.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"60 1","pages":"355 - 380"},"PeriodicalIF":1.2,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76543098","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

Numerical Accuracy of the Predictor-Corrector Method to Solve Fuzzy Differential Equations Based on the Stochastic Arithmetic 基于随机算法求解模糊微分方程的预测-校正法的数值精度

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2021.1880134

M. A. Fariborzi Araghi, Hasan Barzegar Kelishami

引用次数: 2

Extension of Duality Results and a Dual Simplex Method for Linear Programming Problems With Intuitionistic Fuzzy Variables 具有直观模糊变量的线性规划问题对偶结果的推广及对偶单纯形方法

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2021.1908818

M. Goli, S. H. Nasseri

{"title":"Extension of Duality Results and a Dual Simplex Method for Linear Programming Problems With Intuitionistic Fuzzy Variables","authors":"M. Goli, S. H. Nasseri","doi":"10.1080/16168658.2021.1908818","DOIUrl":"https://doi.org/10.1080/16168658.2021.1908818","url":null,"abstract":"The aim of this paper is to introduce a formulation of linear programming problems involving intuitionistic fuzzy variables. Here, we will focus on duality and a simplex-based algorithm for these problems. We classify these problems into two main different categories: linear programming with intuitionistic fuzzy numbers problems and linear programming with intuitionistic fuzzy variables problems. The linear programming with intuitionistic fuzzy numbers problem had been solved in the previous literature, based on this fact we offer a procedure for solving the linear programming with intuitionistic fuzzy variables problems. In methods based on the simplex algorithm, it is not easy to obtain a primal basic feasible solution to the minimization linear programming with intuitionistic fuzzy variables problem with equality constraints and nonnegative variables. Therefore, we propose a dual simplex algorithm to solve these problems. Some fundamental concepts and theoretical results such as basic solution, optimality condition and etc., for linear programming with intuitionistic fuzzy variables problems, are established so far. Moreover, the weak and strong duality theorems for linear programming with intuitionistic fuzzy variables problems are proved. In the end, the computational procedure of the suggested approach is shown by numerical examples.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"74 1","pages":"392 - 411"},"PeriodicalIF":1.2,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89211535","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: 1

Fuzzy Regression in Predicting Math Achievement, Based on Philosophic-Mindedness, Creativity, Mathematics Self-efficacy, and Mathematics Self-concept 基于哲学思维、创造力、数学自我效能感和数学自我概念的模糊回归预测数学成绩

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2021.1880142

Seyyed Meisam Taheri, M. Asadi, A. Shiralipour

{"title":"Fuzzy Regression in Predicting Math Achievement, Based on Philosophic-Mindedness, Creativity, Mathematics Self-efficacy, and Mathematics Self-concept","authors":"Seyyed Meisam Taheri, M. Asadi, A. Shiralipour","doi":"10.1080/16168658.2021.1880142","DOIUrl":"https://doi.org/10.1080/16168658.2021.1880142","url":null,"abstract":"ABSTRACT The present study proposes a flexible/soft model for investigating the role of philosophic-mindedness, creativity, mathematics self-efficacy, and mathematics self-concept in predicting math achievement. To do this end, a fuzzy regression model is developed. Two common criteria are used to evaluate the obtained model. Moreover, the predictability of the model is explained. The case study involves 28 male students from Marand, Iran (year 2015–2016) who took part in a test of mathematics achievement. The participants were junior high-school students in science field of study who were asked to answer four questionnaires pertaining to philosophic-mindedness, creativity, mathematics self-efficacy, and mathematics self-concept. The analysis of the results through fuzzy regression revealed that philosophical-mindedness is not linked to participants' math achievement, while the variables of creativity, mathematics self-efficacy, and mathematics self-concept are positively correlated. The results of this study provide suggestions to any educational system in planning for students' math achievement growth. The proposed methodology is general, so that it can be employed in other educational levels and fields of study.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"8 1","pages":"322 - 334"},"PeriodicalIF":1.2,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88284344","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: 1

Stronger Forms of Sensitivity for Induced Fuzzified Map 诱导模糊化映射的更强灵敏度形式

IF 1.2

Fuzzy Information and Engineering Pub Date : 2020-07-02 DOI: 10.1080/16168658.2021.1915450

Praveen Kumar, Ayub Khan

引用次数: 0