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模糊系统与数学最新文献

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A new optimization approach for indoor location based on Differential Evolution 基于差分进化的室内定位优化新方法
Pub Date : 2015-06-30 DOI: 10.2991/IFSA-EUSFLAT-15.2015.229
A. Masegosa, A. Bahillo, E. Onieva, P. López-García, A. Perallos
The growth of Location Based Services and Location Aware Services in indoor environments has focused the attention of the research community on indoor location systems, especially on those based on WLAN networks and Received Signal Strength (RSS). Despite the advances reached, the development of reliable, accurate and low-cost indoor location systems still remains as an open problem. In this work, we focus on a specific class of location methods where the position of a Mobile Station (MS) is estimated by optimizing a cost function. As far as we know, the optimization models for indoor location proposed so far, only consider the current RSS measurements to estimate the position. In this paper, we propose an optimization approach that uses both current and past measurements to estimate the MS location. To solve the underlying optimization problem we use a Dierential Evolution algorithm. The experimentation done over a simulated and a real scenario shows, on the one hand, that using past and current measurements we obtain more accurate and robust position estimations, and on the other hand, that our proposal is competitive versus other high-performing location methods proposed in the literature.
随着室内环境中基于位置的服务和位置感知服务的发展,室内定位系统,特别是基于无线局域网和接收信号强度(RSS)的室内定位系统受到了研究界的关注。尽管取得了进步,但开发可靠、准确和低成本的室内定位系统仍然是一个悬而未决的问题。在这项工作中,我们专注于一类特定的定位方法,其中移动站(MS)的位置是通过优化成本函数来估计的。据我们所知,目前提出的室内定位优化模型,只考虑当前的RSS测量值来估计位置。在本文中,我们提出了一种优化方法,该方法使用当前和过去的测量来估计MS位置。为了解决潜在的优化问题,我们使用微分进化算法。在模拟和真实场景中进行的实验表明,一方面,使用过去和当前的测量,我们获得了更准确和稳健的位置估计,另一方面,我们的建议与文献中提出的其他高性能定位方法相比具有竞争力。
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引用次数: 4
Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles 基于视觉的无人机模糊控制方法
Pub Date : 2015-06-30 DOI: 10.2991/IFSA-EUSFLAT-15.2015.101
M. Olivares-Méndez, P. Cervera
This paper proposed the use of vision based Fuzzy control approaches for autonomous navigation tasks with Unmanned Aerial Vehicles (UAVs). It is shown the advantages of using RGB cameras as the sensor onboard UAVs and the advantages of using Fuzzy logic controllers. It is explained how to set a vision based system and how to define a Fuzzy controller for a general control approach. A specific software was design and used to develop and tune general Fuzzy control approaches. The “how-to” of this software is also explained in this paper. A methodology to how to design, developed and tune Vision based Fuzzy Control (VBFC) approaches in robotics is also presented. Furthermore, it is shown three dierent VBFC approaches for autonomous navigation developed using this methodology and software. Real experiments were done to validate the dierent approaches with dierent vertical takeo and landing (VTOL) UAVs.
本文提出了基于视觉的模糊控制方法在无人机自主导航任务中的应用。展示了RGB相机作为无人机机载传感器的优势和模糊控制器的优势。说明了如何设置基于视觉的系统,以及如何为一般控制方法定义模糊控制器。设计了一个专门的软件,用于开发和调整通用模糊控制方法。本文还对该软件的“操作”进行了说明。提出了机器人技术中基于视觉的模糊控制(VBFC)方法的设计、开发和调整方法。此外,还展示了使用该方法和软件开发的三种不同的VBFC自主导航方法。针对不同的垂直起降(VTOL)无人机,对不同的方法进行了实验验证。
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引用次数: 5
On Strongly Standard Complete Fuzzy Logics: MTLQ* and its Expansions 强标准完全模糊逻辑:MTLQ*及其展开
Pub Date : 2015-06-30 DOI: 10.2991/IFSA-EUSFLAT-15.2015.117
Amanda Vidal, L. Godo, F. Esteva
Authors are grateful to anonymous reviewers and acknowledge partial support of the Mineco project TIN2012-39348-C02-01.
作者感谢匿名审稿人,并感谢Mineco项目TIN2012-39348-C02-01的部分支持。
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引用次数: 2
Logic of prototypes and counterexamples: possibilities and limits 原型和反例的逻辑:可能性和限制
Pub Date : 2015-06-30 DOI: 10.2991/IFSA-EUSFLAT-15.2015.99
T. Vetterlein
Fuzzy sets are a popular tool to model vague properties. It is, however, well-known that this model usually involves a good degree of arbitrariness. In this contribution we consider the possibility of standardising the construction of fuzzy sets at least with regard to the borderline cases. To this end, we identify a vague property with the sets of clearly positive cases and clearly negative cases and under the assumption that the universe of discourse is a metric space, we determine the fuzzy set by what can be described as a linear interpolation. Following this idea, we discuss a number of logic-based approaches to reasoning under vagueness.
模糊集是一种常用的模糊属性建模工具。然而,众所周知,这个模型通常包含很大程度的随意性。在这篇文章中,我们考虑了标准化模糊集的构造的可能性,至少是关于边界情况的。为此,我们用明显的正情况和明显的负情况的集合来识别模糊属性,并且在假设话语域是度量空间的情况下,我们通过可以描述为线性插值的方法来确定模糊集。根据这个想法,我们讨论了一些基于逻辑的模糊推理方法。
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引用次数: 7
On two categories of many valued relations 论两类多值关系
Pub Date : 2015-06-30 DOI: 10.2991/IFSA-EUSFLAT-15.2015.131
D. Dikranjan, A. Sostak
The purpose of these notes is to introduce the concept of a many-valued relation and to study two, in a certain sense dual, categories of such relations. Besides, we apply the concept of a manyvalued relation to the description of different approaches, both fixed-based and variable-based, to Fuzzy Topology and characterize categories related to Fuzzy Topology, in the framework of the corresponding categories of many-valued relations.
这些笔记的目的是介绍多值关系的概念,并研究这种关系的两个,在某种意义上的对偶范畴。此外,我们将多值关系的概念应用于描述模糊拓扑的不同方法,包括基于固定和基于变量的方法,并在相应的多值关系范畴的框架中表征与模糊拓扑相关的范畴。
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引用次数: 1
The Feature Core of Dynamic Reduct 动态约简的特征核心
Pub Date : 2012-05-16 DOI: 10.4236/AM.2012.35073
Jia-yang Wang
To the reduct problems of decision system, the paper proposes the notion of dynamic core according to the dynamic reduct model. It describes various formal definitions of dynamic core, and discusses some properties about dynamic core. All of these show that dynamic core possesses the essential characters of the feature core.
针对决策系统的约简问题,根据动态约简模型,提出了动态核的概念。介绍了动态核的各种形式化定义,并讨论了动态核的一些性质。这些都表明动态核具有特征核的基本特征。
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引用次数: 0
The Optimization on the Multiperiod Mean Average Absolute Deviation Fuzzy Portfolio Selection 多期平均绝对偏差模糊投资组合优化
Pub Date : 2012-01-01 DOI: 10.1007/978-3-642-27296-7_28
Z. Peng, Pan Jin
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引用次数: 2
Algorithm for Hypertension Therapy by Gene Expression Programming( Contribution to 21 Century Intelligent Technologies and Bioinformatics) 基于基因表达编程的高血压治疗算法(对21世纪智能技术和生物信息学的贡献)
Pub Date : 2007-10-01 DOI: 10.11163/AKANEKAI.4.074
H. Hirano, K. Makino, K. Tomonaga, N. Kunugita, K. Arashidani
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引用次数: 1
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模糊系统与数学
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