2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)最新文献_第2页

Extended Kalman Filter combined with fuzzy rules for localization using wireless transceivers 结合模糊规则的扩展卡尔曼滤波无线收发器定位

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851578

Marbin Pazos-Revilla, Terry N. Guo, Motoya Machida

{"title":"Extended Kalman Filter combined with fuzzy rules for localization using wireless transceivers","authors":"Marbin Pazos-Revilla, Terry N. Guo, Motoya Machida","doi":"10.1109/NAFIPS.2016.7851578","DOIUrl":"https://doi.org/10.1109/NAFIPS.2016.7851578","url":null,"abstract":"Estimating position of moving objects have been an area of research for several decades, but challenges still remain as many of technologies or computational methods are either too costly, computationally intensive, or simply not possible to apply due to environmental, economical, or other types of constraints. In this paper we investigate a novel method for improving position estimation of a moving object using fuzzy rules in combination with Extended Kalman Filter (EKF) and Received Signal Strength Indicator (RSSI) measures. The EKF provides a recursive method for estimating internal states of nonlinear system from measured observations. The estimation performance of EKF is highly dependent on the dynamics of internal system model, which is not always available, as could be the case for the hidden locations of humans, robots, and animals moving according to their own rules. Preliminary results have shown evidence that when fuzzy rules are considered to represent the dynamical system, a reduction of error occurs, and as a result, a less conservative estimation of position is obtained when compared to the traditional weighted least-square estimate in the context of recursive approach.","PeriodicalId":208265,"journal":{"name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133456613","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

A fuzzy classification using a Type-2 fuzzy model in social networks 社交网络中二类模糊模型的模糊分类

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851632

M. Naderipour, S. Bastani, M. F. Zarandi, I. Türksen

引用次数: 0

Conceptual defaults in fuzzy ontology 模糊本体中的概念默认值

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851606

Julia Taylor Rayz, V. Raskin

引用次数: 4

A combined facility location and network design model with multi-type of capacitated links and backup facility and non-deterministic demand by fuzzy logic 用模糊逻辑建立了具有多类型有能力链路和后备设施、不确定性需求的综合设施选址和网络设计模型

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851634

Ali Akbar Sadatasl, M. F. Zarandi, Abolfazl Sadeghi

{"title":"A combined facility location and network design model with multi-type of capacitated links and backup facility and non-deterministic demand by fuzzy logic","authors":"Ali Akbar Sadatasl, M. F. Zarandi, Abolfazl Sadeghi","doi":"10.1109/NAFIPS.2016.7851634","DOIUrl":"https://doi.org/10.1109/NAFIPS.2016.7851634","url":null,"abstract":"Recently so many researches are concerned with the combined facility location and network design models for facility location and coverage problems. In this models we want to find the optimum location of facility by constructing an underlying network. We can use this for distribution network, transportation networks, health centers and emergency allocations, etc. At this study a mathematical programming model is introduced that facilities are opened on the nodes and it is assumed for connecting demand nodes and facilities there are different links with different quality that just one of them should be selected. Also if a facility in a node can't satisfy demand the demand is sent to a facility in other node and satisfied by this facility called backup facility. Also decision process is affected by uncertainty and concept of information inherently is mixed with uncertainty. Fuzzy logic can introduce mathematical models for hazy concepts and variables and systems and also showing a way for argument, control and making decision in uncertainty condition. In complex systems with high uncertainty fuzzy logic is best way for the modeling. At this study demands are considered in uncertain form and are introduced in the form of fuzzy numbers. The problem is modeled for different size and the computational results are compared.","PeriodicalId":208265,"journal":{"name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124623572","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

Evaluating coordination in emergency response team by using fuzzy logic through social network analysis 通过社会网络分析，运用模糊逻辑评价应急队伍的协调能力

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851631

M. Es-haghi, S. Bastani

{"title":"Evaluating coordination in emergency response team by using fuzzy logic through social network analysis","authors":"M. Es-haghi, S. Bastani","doi":"10.1109/NAFIPS.2016.7851631","DOIUrl":"https://doi.org/10.1109/NAFIPS.2016.7851631","url":null,"abstract":"Emergency management will not achieve in its goals unless it prepares members in the emergency response team. Achievement of sufficient preparedness requires effective coordination among all team members. This study aimed to use the fuzzy approach and social network analysis for the evaluation of the coordination level as the most important stage in preparedness of emergency management. The evaluation of coordination with fuzzy approach was conducted by using the findings of density indicator of social network analysis and a standard questionnaire. The density indicator was used in order to evaluate the cohesion of coordination through trust and information interchange measures. Also, a standard questionnaire was applied to evaluate the involvement of members in issues related to emergency management. The findings showed that there was a low level of coordination among the whole team members and slightly related to be coordinated for confronting emergencies. Finally, this article argues that it is necessary to turn into a predictive approach in order to provide a suitable relationship for increasing coordination through creative planning and programming in order to have an ideal emergency management.","PeriodicalId":208265,"journal":{"name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131986329","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

A study on the application of regression trees and adaptive neuro-fuzzy inference system in glass manufacturing process for packaging 回归树与自适应神经模糊推理系统在包装玻璃制造过程中的应用研究

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851584

H. R. D. N. Costa, A. L. Neve

引用次数: 1

Using Interval Constraint Solving Techniques to better understand and predict future behaviors of dynamic problems 利用区间约束求解技术更好地理解和预测动态问题的未来行为

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851621

L. Valera, M. Ceberio

引用次数: 0

Proposing a model for operating room scheduling based on fuzzy surgical duration 提出了一种基于模糊手术时间的手术室调度模型

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851627

B. Lahijanian, M. Zarandi, F. Farahani

引用次数: 12

Fuzzy logic for dynamic adaptation in the imperialist competitive algorithm 帝国竞争算法中动态适应的模糊逻辑

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851599

Emer Bernal, O. Castillo, J. Soria

引用次数: 12

Heavy Moving Averages in exchange rate forecasting 汇率预测中的重移动平均线

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI: 10.1109/NAFIPS.2016.7851579

Ernesto León-Castro, Ezequiel Avilés-Ochoa, J. M. Lindahl, A. M. G. Lafuente

引用次数: 1