2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献_第3页

An efficient fuzzy path selection approach to mitigate selective forwarding attacks in wireless sensor networks 一种有效的模糊路径选择方法缓解无线传感器网络中的选择性转发攻击

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015552

S. A. Sert, Carol J. Fung, R. George, A. Yazıcı

{"title":"An efficient fuzzy path selection approach to mitigate selective forwarding attacks in wireless sensor networks","authors":"S. A. Sert, Carol J. Fung, R. George, A. Yazıcı","doi":"10.1109/FUZZ-IEEE.2017.8015552","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015552","url":null,"abstract":"Wireless Sensor Networks (WSNs) facilitate efficient data gathering requirements occurring in indoor and outdoor environments. A great deal of WSNs operates by sensing the area-of-interest (AOI) and transmitting the obtained data to a sink/(s). The transmitted data is then utilized in decision making processes. In this regard, security of raw and relayed data is both crucial and susceptible to malicious attempts targeting the task of the network which occurs on the wireless transmission medium. A node, when compromised, may deliberately forward data packets selectively. When this happens, nodes adjacent to the malicious nodes cannot identify the malevolent node and mitigate the effects of the attacks. In this study, we introduce a fuzzy path selection approach that efficiently mitigates single selective forwarding attacks in WSNs. Performance of our proposed approach and its evaluations are simulated and obtained. Our experimental results show that our approach is an effective solution to serve as a defense mechanism in terms of the efficiency metrics, such as Half of the Nodes Alive (HNA), Total Remaining Energy (TRE), and Packet Drop Ratio (PDR).","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132405865","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: 9

ELIGERE: A fuzzy AHP distributed software platform for group decision making in engineering design ELIGERE:一个用于工程设计群体决策的模糊AHP分布式软件平台

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015713

S. Grazioso, M. Selvaggio, D. Marzullo, G. Gironimo, M. Gospodarczyk

{"title":"ELIGERE: A fuzzy AHP distributed software platform for group decision making in engineering design","authors":"S. Grazioso, M. Selvaggio, D. Marzullo, G. Gironimo, M. Gospodarczyk","doi":"10.1109/FUZZ-IEEE.2017.8015713","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015713","url":null,"abstract":"This paper presents eligere, a new open-source distributed software platform for group decision making in engineering design. It is based on the fuzzy analytical hierarchy process (fuzzy AHP), a multiple criteria decision making method used in group selection processes to rank a discrete set of alternatives with respect to some evaluation criteria. eligere is built following the paradigm of distributed cyber-physical systems. It provides several features of interest in group decision making problems: a web-application where experts express their opinion on the alternatives using the natural language, a fuzzy AHP calculation module for transforming qualitative into quantitative data, a database for collecting both the experts' answers and the results of the calculations. The resulting software platform is: distributed, interactive, multi-platform, multi-language and open-source. Eligere is a flexible cyber-physical information system useful in various multiple criteria decision making problems: in this paper we highlight its key concepts and illustrate its potential through a case study, i.e., the optimum selection of design alternatives in a robotic product design.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128805304","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: 15

Fuzzy quantified queries to fuzzy RDF databases 对模糊RDF数据库的模糊量化查询

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015632

O. Pivert, Olfa Slama, Virginie Thion

引用次数: 12

An optimization-based approach with minimum preference loss to fuse incomplete linguistic distributions in group decision making 基于最小偏好损失的群体决策不完全语言分布融合优化方法

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015392

Yuzhu Wu, Yucheng Dong

引用次数: 4

Time series forecasting with interval type-2 intuitionistic fuzzy logic systems 区间2型直觉模糊逻辑系统的时间序列预测

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015463

Imo J. Eyoh, R. John, G. Maere

引用次数: 27

Synergetic neuro-fuzzy feature selection and classification of brain tumors 协同神经模糊特征选择与脑肿瘤分类

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015514

Subhashis Banerjee, S. Mitra, B. U. Shankar

引用次数: 25

Efficient modeling and representation of agreement in interval-valued data 区间值数据中一致性的高效建模和表示

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015466

T. Havens, Christian Wagner, Derek T. Anderson

{"title":"Efficient modeling and representation of agreement in interval-valued data","authors":"T. Havens, Christian Wagner, Derek T. Anderson","doi":"10.1109/FUZZ-IEEE.2017.8015466","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015466","url":null,"abstract":"Recently, there has been much research into effective representation and analysis of uncertainty in human responses, with applications in cyber-security, forest and wildlife management, and product development, to name a few. Most of this research has focused on representing the response uncertainty as intervals, e.g., “I give the movie between 2 and 4 stars.” In this paper, we extend upon the model-based interval agreement approach (lAA) for combining interval data into fuzzy sets and propose the efficient IAA (eIAA) algorithm, which enables efficient representation of and operation on the fuzzy sets produced by IAA (and other interval-based approaches, for that matter). We develop methods for efficiently modeling, representing, and aggregating both crisp and uncertain interval data (where the interval endpoints are intervals themselves). These intervals are assumed to be collected from individual or multiple survey respondents over single or repeated surveys; although, without loss of generality, the approaches put forth in this paper could be used for any interval-based data where representation and analysis is desired. The proposed method is designed to minimize loss of information when transferring the interval-based data into fuzzy set models and then when projecting onto a compressed set of basis functions. We provide full details of eIAA and demonstrate it on real-world and synthetic data.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979702","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: 12

Interval-valued sensory evaluation for customized beverage product formulation and continuous manufacturing 用于定制饮料产品配方和连续生产的区间值感官评价

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015695

Svetlin Isaev, Mohannad Jreissat, C. Makatsoris, K. Bachour, J. McCulloch, Christian Wagner

{"title":"Interval-valued sensory evaluation for customized beverage product formulation and continuous manufacturing","authors":"Svetlin Isaev, Mohannad Jreissat, C. Makatsoris, K. Bachour, J. McCulloch, Christian Wagner","doi":"10.1109/FUZZ-IEEE.2017.8015695","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015695","url":null,"abstract":"Understanding of consumer preferences and perceptions is a vital challenge for the food and beverage industry. Food and beverage product development is a very complex process that deals with highly uncertain factors, including consumer perceptions and manufacturing complexity. Sensory evaluation is widely used in the food industry for product design and defining market segments. Here, we develop a two-step approach to minimize uncertainty in the food and beverage product development, including consumers as co-creators. First, we develop interval-valued questionnaires to capture sensory perceptions of consumers for the corresponding sensory attributes. The data captured is modelled with fuzzy sets in order to then facilitate the design of new consumer-tailored products. Then, we demonstrate the real-world manufacture of a personalized beverage product with a continuous food formulation system. Finally, we highlight consumers” perceptions for the corresponding sensory attributes and their fuzzy set generated agreement models to capture product acceptance for the formulated and commercial orange juice drinks, and consequently to establish that continuous beverage formulator is capable of making similar commercial products for individuals.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134599527","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

Exploring the use of type-2 fuzzy sets in multi-criteria decision making based on TOPSIS 探索基于TOPSIS的多准则决策中二类模糊集的应用

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015664

E. N. Madi, J. Garibaldi, Christian Wagner

{"title":"Exploring the use of type-2 fuzzy sets in multi-criteria decision making based on TOPSIS","authors":"E. N. Madi, J. Garibaldi, Christian Wagner","doi":"10.1109/FUZZ-IEEE.2017.8015664","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015664","url":null,"abstract":"Multi-criteria decision making (MCDM) problems are a well known category of decision making problem that has received much attention in the literature, with a key approach being the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). While TOPSIS has been developed towards the use of Type-2 Fuzzy Sets (T2FS), to date, the additional information provided by T2FSs in TOPSIS has been largely ignored since the final output, the Closeness Coefficient (CC), has remained a crisp value. In this paper, we develop an alternative approach to T2 fuzzy TOPSIS, where the final CC values adopt an interval-valued form. We show in a series of systematically designed experiments, how increasing uncertainty in the T2 membership functions affects the interval-valued CC outputs. Specifically, we highlight the complex behaviour in terms of the relationship of the uncertainty levels and the outputs, including non-symmetric and non-linear growth in the CC intervals in response to linearly growing levels of uncertainty. As the first TOPSIS approach which provides an interval-valued output to capture output uncertainty, the proposed method is designed to reduce the loss of information and to maximize the benefit of using T2FSs. The initial results indicate substantial potential in the further development and exploration of the proposed and similar approaches and the paper highlights promising next steps.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132761008","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: 3

Interactive data exploration on top of linguistic summaries 基于语言摘要的交互式数据探索

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015391

Grégory Smits, R. Yager, O. Pivert

引用次数: 5