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NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society最新文献

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Immune-inspired algorithm to find the set of κ-spanning trees with lowest costs in graphs with fuzzy parameters 模糊参数图中代价最小的κ生成树集的免疫启发算法
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531219
T.A. Almeida, A. Yamakami
{"title":"Immune-inspired algorithm to find the set of κ-spanning trees with lowest costs in graphs with fuzzy parameters","authors":"T.A. Almeida, A. Yamakami","doi":"10.1109/NAFIPS.2008.4531219","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531219","url":null,"abstract":"In this work, we present an immune-inspired algorithm based on evolutionary computation to find the set of k-spanning trees with lowest costs in graphs with uncertainties in their parameters. In order to avoid the high complexity of the traditional approaches, we present an artificial immune system for exploring the search space looking for satisfactory results, without the necessity of comparing all possible solutions.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125578884","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 note on supp-preincave fuzzy sets 关于供给预防模糊集的一个注记
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531234
Yu-Ru Syau, E. Lee
{"title":"A note on supp-preincave fuzzy sets","authors":"Yu-Ru Syau, E. Lee","doi":"10.1109/NAFIPS.2008.4531234","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531234","url":null,"abstract":"The relationships between semicontinuity and preincavity of fuzzy sets are investigated in this- study. We- introduce- the- concepts- of- intermediate-point- supp- preincave- fuzzy- sets- and- weakly- supp-preincave- fuzzy- sets.- We- also- give- a- characterization- for- a- weakly- supp-preincave- fuzzy-set.-In-addition,-a-characterization-of-a-supp-preincave- fuzzy- sets- in- terms- of- its- relationship- with- intermediate- point- supp-preincavity- and- weakly- supp-preincavity,- respectively,-is-obtained.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130351240","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
Integrating Linguistic fuzzy knowledge and a probabilistic approach 语言模糊知识与概率方法的集成
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531272
A. Walaszek-Babiszewska
{"title":"Integrating Linguistic fuzzy knowledge and a probabilistic approach","authors":"A. Walaszek-Babiszewska","doi":"10.1109/NAFIPS.2008.4531272","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531272","url":null,"abstract":"The paper deals with the ideas of a linguistic knowledge representation and a probability of fuzzy events. Linguistic fuzzy model with weights of rules is considered as a model of a probabilistic MISO system. The probabilities of linguistic values of antecedent and consequent variables are proposed as rule weights. The linguistic inference procedure and an exemplary MISO model are presented.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133744366","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
Imprecise causality in large data sets 大数据集中不精确的因果关系
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531206
L. Mazlack
{"title":"Imprecise causality in large data sets","authors":"L. Mazlack","doi":"10.1109/NAFIPS.2008.4531206","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531206","url":null,"abstract":"Computationally recognizing causal relationships in data is fundamentally important to good decision making. There are vast amounts of computer stored, multi-faceted data. Understanding how stored data items affect each other is crucial in making good decisions. The most important decisional information is an understanding of causal relationships. An abundance of digital data riches promise a profound impact in both the quality and rate of discovery and innovation in science and engineering, as well as in other societal contexts. Worldwide, researchers are producing, accessing, analyzing, integrating and storing massive amounts of digital data daily, through observation, experimentation and simulation, as well as through the creation of collections of digital representations of tangible artifacts and specimens. After the data is captured, it is made available for analysis. Analyzing large data collections for possible causal relationships is computationally difficult and speculative.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134183647","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
Towards an optimal placement of sensors in Wireless Sensor Networks with dynamic routing 动态路由无线传感器网络中传感器的优化配置
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531296
D. Barragan, V. Gonzalez
{"title":"Towards an optimal placement of sensors in Wireless Sensor Networks with dynamic routing","authors":"D. Barragan, V. Gonzalez","doi":"10.1109/NAFIPS.2008.4531296","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531296","url":null,"abstract":"In recent years, to ensure reliable monitoring and analysis of unknown and untested environments, practitioners have started using Wireless Sensor Networks (WSNs), i.e., collections of tiny disposable, low-power devices, equipped with programmable computing, multiple-parameter-sensing, and wireless communication capacity, able to measure ambient conditions to detect some objects located or events happening around. Hundreds to thousands of unattended sensors forming a WSN communicate with each other and with a central base-station that, in its turn, communicates with the user(s). When designing a WSN, it is critically important to place the sensors and set up routing protocols in such a way as to maintain connectivity and maximize the network lifetime. In this paper, we describe techniques that maximize the network lifetime under the constraint that connectivity is preserved.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134327732","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
Four new adaptive systems for four medical applications — part 2 四种医疗应用的四种新型自适应系统。第2部分
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531283
M. Buscema
{"title":"Four new adaptive systems for four medical applications — part 2","authors":"M. Buscema","doi":"10.1109/NAFIPS.2008.4531283","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531283","url":null,"abstract":"In this work we will try to introduce to four complex Artificial Adaptive Systems, able to be applied directly to medical field with interesting results. Each of these Systems is not a simple algorithm, but a set of adaptive systems, able each time to cooperate and to compete to reach an optimal solution.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133023318","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: 2
A fuzzy classifier to taxonomically group DNA fragments within a metagenome 元基因组内DNA片段分类的模糊分类器
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531252
S. Nasser, A. Breland, Frederick C. Harris, Monica Nicolescu
{"title":"A fuzzy classifier to taxonomically group DNA fragments within a metagenome","authors":"S. Nasser, A. Breland, Frederick C. Harris, Monica Nicolescu","doi":"10.1109/NAFIPS.2008.4531252","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531252","url":null,"abstract":"Extracting microorganisms from their natural environment has become a popular technique. These metagenomic fragments lack enough information that can mark them into taxonomic groups. In this paper, we implement a fuzzy k-means classifier to separate fragments into taxonomic groups present in a metagenomic data set. The fuzzy classifier is used to group shotgun sequence fragments as small as 500 base pairs according to their DNA signatures, namely GC content and oligonucleotide frequencies. A comparison of using different signatures is done and we analyze results and compare them. The classifier is also tested to classify acid mine drainage metagenome into classes to represent the major Archea and Bacteria groups. The classification achieved an accuracy of 99% for acid mine drainage a published environmental genome sample.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133261524","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: 11
Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition 基于集成神经网络响应集成的模糊系统拓扑优化:以指纹识别为例
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531334
Miguel Lopez, P. Melin
{"title":"Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition","authors":"Miguel Lopez, P. Melin","doi":"10.1109/NAFIPS.2008.4531334","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531334","url":null,"abstract":"We describe in this paper a new method for response integration in ensemble neural networks with Type-1 and Type-2 Fuzzy Logic using Genetic Algorithms (GAs) for optimization. In this paper we consider pattern recognition with ensemble neural networks for the case of fingerprints. An ensemble neural network of three modules is used. Each module is a local expert on person recognition based on its biometric measure (Pattern recognition for fingerprints). The Response Integration method of the ensemble neural networks has the goal of combining the responses of the modules to improve the recognition rate of the individual modules. Using GAs to optimize the fuzzy rules of The Type-1 and Type-2 Fuzzy System we can improve the results of the response integration. We show in this paper a comparative study of the results of a type-2 approach for response integration that improves performance over the type-1 fuzzy logic approaches.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133371599","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: 5
Linear Programming with fuzzy joint parameters: A Cumulative Membership Function approach 具有模糊联合参数的线性规划:一种累积隶属函数方法
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531293
J. Garcia, C. Bello
{"title":"Linear Programming with fuzzy joint parameters: A Cumulative Membership Function approach","authors":"J. Garcia, C. Bello","doi":"10.1109/NAFIPS.2008.4531293","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531293","url":null,"abstract":"This paper shows an alternative methodology to find optimal solutions of a linear programming problem defined in a fuzzy environment. The classical fuzzy linear programming (FLP) problem is treated by using fuzzy restrictions in the form Ax les bbreve where indicates a type-1 fuzzy set (Tl FS). The proposed approach uses joint Abreve and bbreve fuzzy parameters to solve a linear programming model under uncertainty conditions. Triangular fuzzy sets are used to reduce the computational complexity of the model, however other types of fuzzy sets can be used. A cumulative membership function (CMF) approach is defined, some optimality conditions are discussed and a new theorem is proved. Finally a small example is provided.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132867267","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
A practical approach to individual thermal comfort and energy optimization problem 个体热舒适与能量优化问题的实用方法
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531261
S. Ari, P. Wilcoxen, H. Khalifa, J. Dannenhoffer, C. Isik
{"title":"A practical approach to individual thermal comfort and energy optimization problem","authors":"S. Ari, P. Wilcoxen, H. Khalifa, J. Dannenhoffer, C. Isik","doi":"10.1109/NAFIPS.2008.4531261","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531261","url":null,"abstract":"This paper presents an intelligent modeling approach to individual thermal comfort and energy optimization problem, which aims to minimize energy consumption and improve thermal environmental conditions for human occupancy. In our previous study, this optimization problem was solved under the assumption of the existence of information about the thermal comfort preferences of individuals. A traditional optimization method is used to calculate off-line optimum solutions to this problem at numerous operating points. These solutions are used to train an intelligent system such as a fuzzy logic system under the same assumption resulting in a control system which encapsulates the behavior of the collection of optimum solutions. This methodology is named \"intelligent modeling of optimized systems\" (IMOS) in this paper. However, it is hard to gather information about individuals' thermal comfort preferences in practice. The sensitivity analysis on the optimization problem and its approximation with fuzzy logic system regarding individual thermal comfort preferences has been investigated in this paper.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114949337","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: 20
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