{"title":"Some results in hesitant fuzzy filters on BE-algebras","authors":"A. Rezaei, A. Saeid","doi":"10.1109/CFIS.2015.7391688","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391688","url":null,"abstract":"In this paper, we introduce the notion of hesitant fuzzy (implicative) filters and get some results on BE-algebras and show that every hesitant fuzzy implicative filter is a hesitant fuzzy filter but not the converse.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122025571","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}
{"title":"Link perturbation in social network analysis through neighborhood randomization","authors":"Ali Asghar Yarifard, Somayyeh Dehnvai","doi":"10.1109/CFIS.2015.7391647","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391647","url":null,"abstract":"Social network, as a new phenomenon, has opened new venues of research area in many sciences. Most studies on social networks require access to the data, which often contains sensitive information that needs to be anonymized before publication. One of such anonymized approaches is link privacy. A standard technique of link privacy is to probabilistically randomize the destination of a link in the local neighborhood of the source node of link, known as neighborhood randomization technique. In this paper, we propose an algorithm based on neighborhood randomization. Unlike previous studies, the proposed algorithm pays more attention to popular nodes in the social network structure. Given the low number of these nodes and the fact that the links of these nodes are more often threatened, they have been perturbed more than other nodes to preserve the privacy of popular nodes. The algorithm has been evaluated using real life social network data.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116136924","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}
Marzieh Tavasoli, M. A. Shooredeli, M. Nekoui, Majid Fahimi Najm
{"title":"Petroleum reservoir properties estimation using neural networks","authors":"Marzieh Tavasoli, M. A. Shooredeli, M. Nekoui, Majid Fahimi Najm","doi":"10.1109/CFIS.2015.7391696","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391696","url":null,"abstract":"In this study, seismic attributes have been used to estimate well logs in one of the Iranian petroleum reservoirs. Three static methods have been evaluated: the linear model, the multilayer perceptron (MLP) and the radial basis function (RBF). For linear case, the selection of appropriate attributes was determined by forward selection and for nonlinear one, the selection was based on the genetic algorithm (GA) result. Parameters of nonlinear models were determined by cross-validation and then well logs were estimated. By comparing estimated and actual logs, RBF has the best performance with least training error. Since well logs contain high frequency content, so localized networks such as RBF has better performance than MLP through the study data set.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720782","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}
{"title":"Analyzing of the von Karman equations by using neural network approach","authors":"Z. Dadi","doi":"10.1109/CFIS.2015.7391637","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391637","url":null,"abstract":"In this paper, we consider a partial differential equation (PDE) governing panel motion in supersonic flow. This PDE can be transformed to an ODE by means of a neural network method. Our aim is to study dynamics of the transformed system near the origin as the parameters are varying.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130094116","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}
{"title":"An intelligent method to minimize the number of service registering messages in the cloud environment","authors":"Samira Talebi, Hassan Khotanlou, Mansour Esmaeilpour","doi":"10.1109/CFIS.2015.7391638","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391638","url":null,"abstract":"Spreading distributed environment infrastructure, like a cloud, has leaded to increase the number of cloud computing service providers such as infrastructure as service, platform as service and software as service. One of the most important requirements of cloud is employing an efficient method to register and discover services which are befitting consumer needs. A successful search to discover the service requires an efficient service registry. In this paper, an algorithm is introduced for minimizing the number of service registry messages in unstructured peer to peer network cloud platform for execution of which, the genetic algorithm has been used to discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement that leads the least service registry messages.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131386807","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}
{"title":"Some results on union of (∊, ∊ ∨qk)-fuzzy interior hyperideals of semihypergroups","authors":"S. Azizpour, Y. Talebi","doi":"10.1109/CFIS.2015.7391684","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391684","url":null,"abstract":"In this paper, we investigate the conditions under which a given (ϵ, ϵ Vqk)-fuzzy interior hyperideal of a given semihypergroup can be realized as a union of two proper non-equivalent (ϵ, ϵ Vqk)-fuzzy interior hyperideals. Moreover, we provide a necessary and sufficient condition for the union of an arbitrary family of (ϵ, ϵ Vqk)-fuzzy interior hyperideals to be an (ϵ, ϵ Vqk)-fuzzy interior hyperideal. Finally, we discuss on the relation between the union of an arbitrary family of (ϵ, ϵ Vqk)-fuzzy interior hyperideals and the homomorphisms of semihypergroups.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379611","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}
{"title":"H infinity robust controller comparison with PD like fuzzy logic controller for an AUV control","authors":"Abbas Marvian Mashhad, S. Mashhadi","doi":"10.1109/CFIS.2015.7391665","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391665","url":null,"abstract":"With the increasing usage of autonomous underwater vehicles in offshore applications, it has been important to have a controller that can satisfy a convincing performance throughout the mission. Due to non-linear and time varying dynamic, controlling this vehicle has some special difficulties. Modeling errors that may exist and Uncertainties which associated with the environment firstly evokes that the idea of a robust controller to control the underwater robot. For this purpose, after the linearization of underwater robot model with six degrees of freedom at the optimum operating point, then design H_infinity controller. Furthermore fuzzy logic controller which can works with nonlinear model and unpredictable uncertainty Such as sea currents which influence on autonomous underwater vehicle performance is designed. Finally compare obtained results in fuzzy logic controller with H_infinity robust controller. As shown in simulation results fuzzy logic controller has better performance in the presence of uncertainties in compare with H_infinity robust controller.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115644386","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}
{"title":"Data envelopment analysis with integer-valued factors in a fuzzy environment","authors":"S. Kordrostami, M. J. S. Noveiri","doi":"10.1109/CFIS.2015.7391701","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391701","url":null,"abstract":"In real applications, there are situations that the performance of decision making units (DMUs) should be evaluated while imprecise and integer-valued inputs and/or outputs present. For this purpose, in the current paper, models and approaches are proposed to evaluate the efficiency of DMUs where fuzzy and integer-valued data exist. To illustrate, methods are suggested to solve some integer-valued data envelopment analysis (DEA) models in the presence of fuzzy inputs and outputs, i.e. some fuzzy number ranking methods and the graded mean integration representation method are used. A numerical example is utilized to clarify approaches.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"59 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116522445","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}
{"title":"Fuzzy behavior based mobile robot navigation","authors":"Mehdi Ravangard","doi":"10.1109/CFIS.2015.7391649","DOIUrl":"https://doi.org/10.1109/CFIS.2015.7391649","url":null,"abstract":"In the following paper an algorithm is proposed using behavior based robotics, fuzzy logic and Braitenberg vehicles concepts to control a mobile robot. This algorithm tries to navigate the robot from a starting point to a target in the shortest possible path using two simple behaviors: goal seeking and obstacle avoidance. The algorithm is simulated on Khepera III robot in Webots simulator.","PeriodicalId":239692,"journal":{"name":"2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115189895","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}