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NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society最新文献

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Conceptualized Query for Information Retrieval 信息检索的概念化查询
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383816
Yan Chen, H. Sekiya, T. Takagi
{"title":"Conceptualized Query for Information Retrieval","authors":"Yan Chen, H. Sekiya, T. Takagi","doi":"10.1109/NAFIPS.2007.383816","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383816","url":null,"abstract":"Many search engines are term-based information retrieval models. The disadvantage of this type of model is that it does not consider word sense. If we can represent the meanings of the terms that a user inputs, the IR system can retrieve the information the user really wants; not simply match the terms. To represent word sense, we proposed conceptual fuzzy sets (CFSs). A CFS is a framework that represents word concepts and that changes dynamically with fuzzy sets. In this paper, we experiment with concept retrieval for documents using conceptualized queries using CFSs. In our experiment, we evaluated our system on a large-scale corpus consisting of 1 million newswire text data. The experimental results showed that the performance of the IR system was improved. It also indicated that generating conceptualized queries is effective in an IR system.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116677614","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
Application of The Fuzzy-PID to The Power Plant 模糊pid在电厂控制中的应用
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383839
Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong
{"title":"Application of The Fuzzy-PID to The Power Plant","authors":"Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong","doi":"10.1109/NAFIPS.2007.383839","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383839","url":null,"abstract":"To improve the control quality of conventional PID controller used in complex control system, a new design strategy of fuzzy-PID controller is proposed by utilizing the advantages of both fuzzy and auto tuning PID controls and their mutual compensation. The tuning method based on the specified phase and gain margin is proposed to determine the parameters of the new fuzzy self-adjusting PID controllers, to cope with a modern power plant with working condition changing frequently and strong dynamic time-varying nonlinear property. Using fuzzy inference methods, the fuzzy PID parameters can be adaptively adjusted on line for varying state of the system and changing operating condition. The strategy, which is implemented based on the function code on many typical DCS. The industrial application results show that many complex control system that uses this design strategy can effectively reduce the debugging time and has better control performance.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125962425","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
Cyclic Causal Complexes 循环因果复合体
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383876
L. Mazlack
{"title":"Cyclic Causal Complexes","authors":"L. Mazlack","doi":"10.1109/NAFIPS.2007.383876","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383876","url":null,"abstract":"Causal commonsense reasoning perceptions play an essential role in human decision-making. A known cause/effect relationship has a high decision value. Knowledge of at least some relationships is inherently imprecise. Causal complexes are groupings of smaller causal relations that can make up a larger grained causal object. Usually, commonsense reasoning is more successful in reasoning about a few large-grained events than many finer-grained events. However, larger-grained causal objects are necessarily more imprecise. A satisficing solution might be to develop large-grained solutions and then develop finer-grain objects when the impreciseness of the larger-grain is unsatisfactory. Often, a causal relationship is represented by a network with conditioned edges (probability, possibility, randomness, etc.). Various kinds of representational graphs and models can be used. One class of needed necessary descriptions are cycles, including mutual causal dependencies, both with non-cumulative effects and cumulative effects (including feedback). Without cyclic descriptions, there will be an incomplete representation of the variety and wealth of causal constructions used in science as well as in everyday life. Causal Bayes networks have received significant attention; a significant weakness is that they do not allow cycles; they have other significant restrictions, including independence conditions that include Markoff conditions. This paper discusses general and Bayes causal networks and introduces general imprecise graphic causal models.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126121484","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
Food Clustering Analysis for Personalized Food Replacement 个性化食品替代的食品聚类分析
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383869
Huan-Chung Li, Wei-Min Ko, Hung-Wen Tung
{"title":"Food Clustering Analysis for Personalized Food Replacement","authors":"Huan-Chung Li, Wei-Min Ko, Hung-Wen Tung","doi":"10.1109/NAFIPS.2007.383869","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383869","url":null,"abstract":"Everybody needs a balanced diet to maintain a healthy body. An unbalanced diet may lead to disease and sickness. Medical nutrition therapy (MNT) is important in preventing diabetes, managing existing diabetes, and preventing, or at least slowing, the rate of development of diabetes complications. The most common way for Diabetes Educators to inform diabetes patients of their nutrition therapy is by introducing food substitution. Patients are taught to replace food items from the same food group based on the quantity of the desired nutrients. However, this method may not provide the best results because it does not accurately take into account of all the food characteristics, diabetes diet-care requirements, and the relationships between the different types of food. The goal of our study is to propose a food clustering analysis mechanism for personalized food replacement and recommendation. Our proposed approach will be helpful to nutritionists in creating new food groups and personalized food replacements and recommendations.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343482","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
Data Mining Through Fuzzy Social Network Analysis 基于模糊社会网络分析的数据挖掘
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383846
P. Nair, S. Sarasamma
{"title":"Data Mining Through Fuzzy Social Network Analysis","authors":"P. Nair, S. Sarasamma","doi":"10.1109/NAFIPS.2007.383846","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383846","url":null,"abstract":"In this paper, fuzzy theory has been applied to social network analysis (SNA). Social network analysis models meaningful relations that exist between entities as graph. These entities may be people, events, organizations, symbols in text, sounds in verbalizations, nations of the world and so on. However, the fuzzy graph can be very huge and thus the ability to arrive at meaningful conclusions in a timely fashion may be quite difficult. With this in mind, a method to consolidate the information content of the fuzzy graph is proposed. Since none of the existing fuzzy binary operations meet the requirements, a new fuzzy binary operation called consolidation operation is also introduced.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126767666","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: 54
Fuzzy ROI Based 2-D/3-D Registration for Kinetic Analysis after Anterior Cruciate Ligament Reconstruction 基于模糊ROI的前交叉韧带重建后二维/三维配准动力学分析
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383849
D. Kubo, S. Kobashi, A. Okayama, N. Shibanuma
{"title":"Fuzzy ROI Based 2-D/3-D Registration for Kinetic Analysis after Anterior Cruciate Ligament Reconstruction","authors":"D. Kubo, S. Kobashi, A. Okayama, N. Shibanuma","doi":"10.1109/NAFIPS.2007.383849","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383849","url":null,"abstract":"Rupture of anterior cruciate ligament (ACL) is a serious problem for playing sports, which causes in functional stability of the knee joint. To restore this problem, various operation techniques of ACL reconstruction are proposed. Thus, it is important to numerically characterize the knee kinematics after ACL reconstruction. Then, we proposed an analysis method to estimate the three-dimensional (3-D) knee kinematics. However, the estimation accuracy was not enough. Because the target image did not have high contrast, for example, at the boundary between the femoral bone and the tibial bone. Then, born regions can not be extracted preciously because the target image has low contrast. In this paper, we propose a fuzzy ROI (region of interests) based image registration. This method attend the region where has clear contour of bone region and ignore the region where has murky contour of bone region, by using fuzzy degree map which is assigned by the fuzzy region of interests (ROI).","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114433905","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
A Philosophy of Science with Fuzzy Structures 模糊结构的科学哲学
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383866
R. Seising
{"title":"A Philosophy of Science with Fuzzy Structures","authors":"R. Seising","doi":"10.1109/NAFIPS.2007.383866","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383866","url":null,"abstract":"This paper deals with fuzzy sets and fuzzy relations as a new tool for philosophers of science. This philosophical discipline deals with the connections of empirical and theoretical structures. Scientists observe real systems and phenomena and from that they obtain a data structure. To represent that structure they build a model. In this context we say simplistic that there is a \"mapping\" from reality to theory. The so-called structuralist approach in philosophy of science uses informal logic and informal set theory to axiomatize empirical theories and their intertheoretic relations. It offers two layers of structures: the empirical and the theoretical layer. In this paper we will extend this structuralist view by using fuzzy sets and fuzzy relations to represent structures of perceptions as important components in the philosophy of science. These components have to be settled in an intermediate layer between the empirical and theoretical structures.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493263","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
Creating Streaming Iterative Soft Clustering Algorithms 创建流迭代软聚类算法
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383888
Prodip Hore, Lawrence O. Hall, Dmitry Goldgof
{"title":"Creating Streaming Iterative Soft Clustering Algorithms","authors":"Prodip Hore, Lawrence O. Hall, Dmitry Goldgof","doi":"10.1109/NAFIPS.2007.383888","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383888","url":null,"abstract":"There are an increasing number of large labeled and unlabeled data sets available. Clustering algorithms are the best suited for helping one make sense out of unlabeled data. However, scaling iterative clustering algorithms to large amounts of data has been a challenge. The computation time can be very great and for data sets that will not fit in even the largest memory, only carefully chosen subsets of data can be practically clustered. We present a general approach which enables iterative fuzzy/possibilistic clustering algorithms to be turned into algorithms that can handle arbitrary amounts of streaming data. The computation time is also reduced for very large data sets while the results of clustering will be very similar to clustering with all the data, if that was possible. We introduce transformed equations for fuzzy-C-means, possibilistic C-means, the Gustafson-Kessel algorithm and show the excellent performance with a streaming fuzzy C-means implementation. The resulting clusters are both sensible and for comparable data sets (those that fit in memory) almost identical to those obtained with the original clustering algorithm.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129422229","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: 22
Under Interval and Fuzzy Uncertainty, Symmetric Markov Chains Are More Difficult to Predict 在区间不确定性和模糊不确定性下，对称马尔可夫链较难预测
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383895
R. Araiza, G. Xiang, O. Kosheleva, D. Škulj
{"title":"Under Interval and Fuzzy Uncertainty, Symmetric Markov Chains Are More Difficult to Predict","authors":"R. Araiza, G. Xiang, O. Kosheleva, D. Škulj","doi":"10.1109/NAFIPS.2007.383895","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383895","url":null,"abstract":"Markov chains are an important tool for solving practical problems. In particular, Markov chains have been successfully applied in bioinformatics. Traditional statistical tools for processing Markov chains assume that we know the exact probabilities pij of a transition from the state i to the state j. In reality, we often only know these transition probabilities with interval (or fuzzy) uncertainty. We start the paper with a brief reminder of how the Markov chain formulas can be extended to the cases of such interval and fuzzy uncertainty. In some practical situations, there is another restriction on the Markov chain-that this Markov chain is symmetric in the sense that for every two states i and j, the probability of transitioning from i to j is the same as the probability of transitioning from j to i: pij = pji. In general, symmetry assumptions simplify computations. In this paper, we show that for Markov chains under interval and fuzzy uncertainty, symmetry has the opposite effect: it makes the computational problems more difficult.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228580","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: 10
Deep Properties of Totally Fuzzy Sets 全模糊集的深度性质
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383831
J. M. Barone
{"title":"Deep Properties of Totally Fuzzy Sets","authors":"J. M. Barone","doi":"10.1109/NAFIPS.2007.383831","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383831","url":null,"abstract":"It was suggested in [J. Barone (2006)] that totally fuzzy sets could be transformed into \"equivalent\" ordinary fuzzy sets (totally fuzzy sets where all pairs of elements (x, y) are mapped to zero unless x = y) by choosing an appropriate singleton and then solving a suitable relational equation. This paper describes another method for accomplishing this transformation, namely, by taking the ordinary fuzzy set to be given by the spectrum of eigenvalues of the underlying totally fuzzy set. Special conditions are required to preserve the category-theoretic relationship between the two fuzzy sets, and these are also discussed. Once the process has been outlined, a number of possible areas of application are adumbrated. These include decision theory, linguistic hedges, and the cognitive/linguistic representation of color terms. The conclusion is that totally fuzzy sets and their spectra may have cognitive significance.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114802064","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
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