2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献_第5页

FCA-BASED RULE GENERATOR, a framework for the genetic generation of fuzzy classification systems using formal concept analysis 基于fca的RULE GENERATOR，一个使用形式概念分析的模糊分类系统遗传生成框架

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337950

M. E. Cintra, M. C. Monard, H. Camargo

引用次数: 3

Non-quadratic approach for control design of constrained Takagi-Sugeno fuzzy systems subject to persistent disturbances 受持续扰动约束的Takagi-Sugeno模糊系统控制设计的非二次方法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337952

Anh‐Tu Nguyen, T. Laurain, J. Lauber, C. Sentouh, J. Popieul

引用次数: 4

Energy efficient task scheduling with Type-2 fuzzy uncertainty 具有2型模糊不确定性的节能任务调度

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338103

Amit K. Shukla, Rahul Nath, Pranab K. Muhuri

{"title":"Energy efficient task scheduling with Type-2 fuzzy uncertainty","authors":"Amit K. Shukla, Rahul Nath, Pranab K. Muhuri","doi":"10.1109/FUZZ-IEEE.2015.7338103","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7338103","url":null,"abstract":"In this paper, we have reported a new approach for employing the non dominated sorting genetic algorithm-II (NSGA-II) with the type-2 fuzzy sets in optimizing energy in real-time embedded systems. The multi-objective problem of energy efficiency and timeliness of tasks has been extensively studied. Little variations in the task timing parameters produce considerable variations in the results of the critical real-time computations. Importantly, at the system designing phase these timing parameters are completely unquantifiable. We therefore propose here a new algorithm for real-time scheduling in type-2 fuzzy uncertain domains. We have included comparative results obtained from models with crisp timing parameters and their fuzzy type-1 and type-2 counterparts. From the observations of the outcome, it is found that model with crisp timing parameters gives the worst result as energy consumption in the system is maximum at a constant earliness. The crisp model is outperformed by both fuzzy type-1 and type-2 models and ensures significant reductions in energy consumption. Whereas fuzzy type-2 model overwhelms both fuzzy type-1 and crisp model in ensuring task completions with maximum earliness. Suitable numerical examples are included to demonstrate our proposed approach.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799209","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: 25

Note to semantical interpretation of non-trivial syllogisms with intermediate quantifiers 注意使用中间量词的非平凡三段论的语义解释

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338046

Petra Murinová, V. Novák

引用次数: 1

An incremental interval Type-2 neural fuzzy Classifier 增量区间2型神经模糊分类器

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337801

Mahardhika Pratama, Jie Lu, Guangquan Zhang

引用次数: 6

A bipolar approach for intuitionistic fuzzy alternative ranking 直觉模糊选择排序的双极方法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337830

Nouredine Tamani

{"title":"A bipolar approach for intuitionistic fuzzy alternative ranking","authors":"Nouredine Tamani","doi":"10.1109/FUZZ-IEEE.2015.7337830","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337830","url":null,"abstract":"Ranking intuitionistic fuzzy alternatives has been widely studied by Szmidt and Kacprzyk in many work. The lake of a linear order amongst elements of intuitionistic fuzzy alternative sets, as stated in [1], oriented the researches to the definition of aggregation methods measuring the distance of each alternative to the best element of an intuitionistic fuzzy set. However, in some real applications such as raking possible items or alternatives according to positive and negative ratings, expressing respectively the satisfaction and dissatisfaction of some buyers in e-commerce applications, the distance may deliver some counter-intuitive results from the user's standpoint. Therefore, by considering intuitionistic fuzzy alternatives as particular fuzzy bipolar sets, we introduce in this paper an intuitionistic bipolar approach for alternative ranking, based on (i) two intuitionistic preference relations, namely intuitionistic more preferred than or equal to (denoted by equation) and intuitionistic less preferred than or equal to (denoted by equation), each of which is a linear order, which can be used to rank bipolar alternatives attached with both degrees of acceptance (membership) and rejection (non-membership), and on (ii) two algebraic operators called Intuitionistic minimum, denoted by Imin, and Intuitionistic maximum, denoted by Imax, to compute respectively the intersection and the union of intuitionistic fuzzy bipolar alternative sets.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126094620","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: 4

An Internal Model Control based design method for Single input Fuzzy PID controllers 基于内模控制的单输入模糊PID控制器设计方法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337918

A. Var, T. Kumbasar, E. Yesil

{"title":"An Internal Model Control based design method for Single input Fuzzy PID controllers","authors":"A. Var, T. Kumbasar, E. Yesil","doi":"10.1109/FUZZ-IEEE.2015.7337918","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337918","url":null,"abstract":"In this paper, the analytic formulation of the single input Fuzzy PID (FPID) controller output is derived to present an Internal Model Control (IMC) based design method. In this context, we have firstly derived the input- output relationship of the fuzzy controller and investigated the effect of the membership function (MF) parameters on the output of the Single input FPID (SFPID). Based the presented observations, design guidelines are presented on how to tune MF parameters of the controller to obtain aggressive and smooth control actions. Moreover, we have derived the analytic formulation of the SFPID controller output. It has been shown that the output formulation is analogous to the Conventional FPID (CFPID) and the PID controller ones. Moreover, we have also shown that the SFPID controller can be seen as combination of a PID controller and nonlinear compensation term. Thus, we have used this analytical information to employ the well-known IMC based design method to tune the design parameters of the SFPID structure. Comparative simulation results have been conducted on a benchmark nonlinear system to show that the SFPID improved the transient state performance while providing an identical disturbance rejection performance of the CFPID structure.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127873387","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: 6

Application of Fuzzy Cognitive Maps to water demand prediction 模糊认知图在需水量预测中的应用

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337973

E. Papageorgiou, Katarzyna Poczeta, C. Laspidou

{"title":"Application of Fuzzy Cognitive Maps to water demand prediction","authors":"E. Papageorgiou, Katarzyna Poczeta, C. Laspidou","doi":"10.1109/FUZZ-IEEE.2015.7337973","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337973","url":null,"abstract":"This article is focused on the issue of learning of Fuzzy Cognitive Maps designed to model and predict time series. The multi-step supervised-learning based-on-gradient methods as well as population-based learning, with the use of real coded genetic algorithms, are described. In this study, a new structure optimization genetic algorithm for fuzzy cognitive maps learning is proposed for automatic construction of FCM applied to time series prediction. The proposed learning methodologies are based on an FCM reconstruction procedure using historical time series. The main contribution of this study is the analysis of the use of FCMs with their learning algorithms based on the multi-step gradient method (MGM) and other population-based methods to predict water demand. The performance of learning algorithms is presented through the analysis of real data of daily water demand and the corresponding prediction. The multivariate analysis of historical water demand data is held for five variables, mean and high temperature, precipitation, wind speed and touristic activity. Simulation results were obtained with the ISEMK (Intelligent Expert System based on Cognitive Maps) software tool. Through the experimental analysis, we demonstrate the usefulness of the new proposed FCM learning algorithm in water demand prediction, by calculating the known prediction errors. The advantage of the optimization genetic algorithm structure is its ability to select the most significant relations between concepts for prediction.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"25 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622875","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: 33

Toward the existence of solutions of fractional sequential differential equations with uncertainty 关于不确定分数阶序微分方程解的存在性

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338013

S. Salahshour, A. Ahmadian, Chee Seng Chan, D. Baleanu

引用次数: 5

An approach to measure “the consensus degree of a purpose” on a group decision making 在群体决策中衡量“目标的一致程度”的一种方法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337825

M. Ohki

{"title":"An approach to measure “the consensus degree of a purpose” on a group decision making","authors":"M. Ohki","doi":"10.1109/FUZZ-IEEE.2015.7337825","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337825","url":null,"abstract":"This paper proposes to measure of the consensus degree of a purpose in a group decision making on a business. A group demonstrates big capability if a purpose of the group is agreed from the members. If we have the measure of the consensus degree of a purpose in a group decision making, then it contributes to activation and increase in efficiency of organizations greatly. The bosses and leaders can measure working efficiency using the consensus degree of a purpose. I proposed the “distance-adjusted covariates method” for group decision making analysis[1]. This method can categorize group to 4 areas using “VDI (Variety Dispersion Index)” and “ranking values”. These are defined in this method. In this paper, I show that the VDI expresses the consensus degree of a purpose in a group decision making. A business simulation game is used as a practical scene of an experiment in this paper. It can make a practical scene of a business. This paper aims to show that the proposed method can analyze in detail a group's behavior on practical scene of business using VDI and ranking values. As a result, the signs that the group's purpose going in agreement were evaluated by the VDI. And it could analyze a group's behavior using the ranking values.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132016977","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