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2010 Annual Meeting of the North American Fuzzy Information Processing Society最新文献

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Fuzzy time series based on defining interval length with Imperialist Competitive Algorithm 基于帝国竞争算法定义区间长度的模糊时间序列
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548295
M. Zarandi, A. Molladavoudi, A. Hemmati
{"title":"Fuzzy time series based on defining interval length with Imperialist Competitive Algorithm","authors":"M. Zarandi, A. Molladavoudi, A. Hemmati","doi":"10.1109/NAFIPS.2010.5548295","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548295","url":null,"abstract":"Determining interval length in fuzzy time series has been one of the main concerns of many researchers in this area. Since an interval length has a continuous nature, in this paper, a novel metaheuristic algorithm (ICA), Imperialist Competitive Algorithm, is implemented. ICA can determine accurate interval length and it directly leads to results of fuzzy time series. For checking the validity of proposed model and algorithm, three well known bench mark problems, Daily Temperature in Taipei (Taiwan (1996), TAIFEX series (1996), and Alabama University Enrollment, is used. The results show that the proposed model can reduce both MSE and MAPE in all above mentioned bench mark problems.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116406162","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
Application of adaptive systems methodology to radiotherapy 自适应系统方法学在放射治疗中的应用
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548297
M. Buscema, F. Newman, E. Grossi, William TastleL, G. Massini
{"title":"Application of adaptive systems methodology to radiotherapy","authors":"M. Buscema, F. Newman, E. Grossi, William TastleL, G. Massini","doi":"10.1109/NAFIPS.2010.5548297","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548297","url":null,"abstract":"Brain volume differences from 58 children are analyzed to determine the degree of volume loss and the effect on IQ after undergoing radiotherapy for tumors in an effort to identify relationships that might yield knowledge in preventing brain volume loss in future treatments. Analysis of the pre- and post-treatment data is performed first using traditional statistics and then with the assistance of a new kind of artificial adaptive systems called the activation and competition system (ACS) and Auto-contractive Map (Auto-CM). While the result of the statistical study suggests that it is not possible to linearly classify the subjects into subsets of higher and lower IQ, the ACS clearly delineates the dataset into two IQ groups. Further, Auto-CM allows us to establish a semantic connection map among different brain segments which indicates a possible interpretation rule in the observed results. The effect of radiation treatment on the nine brain segments is addressed and future research directions are introduced.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127365100","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: 6
Inherently imprecise causal complexes 内在不精确的因果复合体
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548411
L. Mazlack
{"title":"Inherently imprecise causal complexes","authors":"L. Mazlack","doi":"10.1109/NAFIPS.2010.5548411","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548411","url":null,"abstract":"Causal complexes are groupings of smaller causal relations that make up a large grained causal object. Usually, com-monsense reasoning is more successful in reasoning about a few large-grained events than many fine-grained events. However, the larger-grained causal objects are necessarily more imprecise as some of their constituent components. Causality is imprecisely granular in many ways. Knowledge of at least some causal effects is inherently imprecise. It is unlikely that all possible factors can be known for many subjects; consequently, causal knowledge is inherently incomplete and therefore imprecise. A satisficing solution might be to develop large-grained solutions and then only go to the finer-grain when the impreciseness of the large-grain is unsatisfactory.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132627077","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
Cloud sets as a measure theoretic basis for fuzzy set theory 云集作为模糊集理论的测度理论基础
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548268
M. J. Wierman
{"title":"Cloud sets as a measure theoretic basis for fuzzy set theory","authors":"M. J. Wierman","doi":"10.1109/NAFIPS.2010.5548268","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548268","url":null,"abstract":"The theory of Cloud sets is presented and standard techniques of set theory allow for the development of a rich algebra of cloud sets. When measures are added we can introduce the Cloud complement and show that Cloud Sets are isomorphic to fuzzy sets. However, the fundamental manipulations, techniques, and definitions are simpler and more amenable to analysis. For example, the extension principle is easy to define.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019077","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
Weaknesses of DAGs for imprecise general causal representations 不精确的一般因果表示的dag的缺点
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548412
L. Mazlack
{"title":"Weaknesses of DAGs for imprecise general causal representations","authors":"L. Mazlack","doi":"10.1109/NAFIPS.2010.5548412","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548412","url":null,"abstract":"Causal reasoning occupies a central position in human reasoning. In order to algorithmically consider causal relations, the relations must be placed into a representation that supports manipulation. The most widespread causal representation is directed acyclic graphs (DAGs). However, DAGs are severely limited in what portion of the every day world they can represent. Both possible causal relationships and shifts in grain size are overly limited. Commonsense reasoning recognizes causal granularization. Sometimes, the details underlying an event can be known to a fine level of detail, sometimes not; causal representations must accommodate shifts in grain size. Every day reasoning approaches are used that do not require complete knowledge. An algorithmic way of handling and representing causal imprecision is needed.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618644","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 simple approach for designing a type-2 fuzzy controller for a mobile robot application 一种用于移动机器人应用的2型模糊控制器的简单设计方法
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548418
L. Leottau, M. Melgarejo
{"title":"A simple approach for designing a type-2 fuzzy controller for a mobile robot application","authors":"L. Leottau, M. Melgarejo","doi":"10.1109/NAFIPS.2010.5548418","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548418","url":null,"abstract":"This paper presents an approach for designing an interval type-2 fuzzy logic controller (IT2-FLC) for a mobile robot application and describes how it can be developed involving the use of type-1 and type 2 fuzzy sets. Some tests are carried out in order to compare its performance variability under different levels of noise and different defuzzyfier methods. In addition, designed IT2-FLC is implemented and tested onto a digital signal controller embedded hardware. Simulated and emulated results evidence that IT2-FLC is robust to defuzzyfier changes and exhibits better performance than a T1-FLC when noise is added to inputs and outputs.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116814401","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: 18
Interpretation of metaphor and the principle of conceptual fuzzy sets 隐喻的解释与概念模糊集原理
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548290
Akimitsu Mori, Mayuka Sato, Minoru Hamaguchi, T. Takagi
{"title":"Interpretation of metaphor and the principle of conceptual fuzzy sets","authors":"Akimitsu Mori, Mayuka Sato, Minoru Hamaguchi, T. Takagi","doi":"10.1109/NAFIPS.2010.5548290","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548290","url":null,"abstract":"The utterance ‘She is a bulldozer’ is not interpreted by a person to refer to a piece of construction equipment but to mean something like ‘She is powerful’. Thus, interpretations of language are affected by contexts. This phenomenon does not only apply to metaphor. According to ‘Metaphors We Live By’ (Lakoff and Johnson[1]), our ordinary conceptual system, in terms of which we both think and act, is fundamentally metaphorical in nature. The subject of research is a typical metaphor ‘A is B’, which is a foundation of interpretations, and we propose the model interpretation of metaphor along with the principle of conceptual fuzzy sets. We used news documents as a corpus, experimented on the appropriateness of a proposed system, and then evaluated it.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114847079","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
Fuzzy LDA for face recognition with GA based optimization 基于遗传算法优化的模糊LDA人脸识别
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548410
A. Khoukhi, S. F. Ahmed
{"title":"Fuzzy LDA for face recognition with GA based optimization","authors":"A. Khoukhi, S. F. Ahmed","doi":"10.1109/NAFIPS.2010.5548410","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548410","url":null,"abstract":"The paper addresses the face recognition problem by modifying the Fuzzy Fisherface classification method. In conventional methods, the relationship of each face to a class is assumed to be crisp. The Fuzzy Fisherface method introduces a gradual level of assignment of each face pattern to a class, using a membership grading based upon the K-Nearest Neighbor (KNN) algorithm. This method was further modified by incorporating the membership grade of each face pattern into the calculation of the between-class and with-in class scatter matrices, termed as Complete Fuzzy LDA (CFLDA). Both Fuzzy Fisherface and CFLDA methods utilize the Fuzzy-KNN algorithm. The present work aims at improving the assignment of class membership by improving the parameters of the membership functions. A genetic algorithm is employed to optimize these parameters by searching the parameter space. Furthermore, the genetic algorithm is used to find the optimal number of nearest neighbors to be considered during the training phase. The experiments were performed on the ORL (Olivetti Research Laboratory) face image database and the results show consistent improvement in the recognition rate when compared to the results from other techniques applied on the same database and reported in literature.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"28 4 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125689636","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
Improvement of bag of visual words using Iconclass 使用Iconclass改进视觉词包
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548294
Naoki Motohashi, K. Yamauchi, T. Takagi
{"title":"Improvement of bag of visual words using Iconclass","authors":"Naoki Motohashi, K. Yamauchi, T. Takagi","doi":"10.1109/NAFIPS.2010.5548294","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548294","url":null,"abstract":"Recently, bag-of-visual-words has been paid attention to as an image retrieval approach that uses the defining features of images. However, k-means clustering generally used in bag-of-visual-words has a drawback such that its result is affected by setting up initial points and their number. Additionally, the more keypoints increase, the more expensive processing becomes. We resolve the problem of bag-of-visual-words by using a quantizing method that we have developed. In addition, we have developed a theme comprehending system that uses ontology.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849784","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
Assessing probability and possibility of catastrophic failure in managed systems using sparse fuzzy data 利用稀疏模糊数据评估管理系统灾难性故障的概率和可能性
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548266
T. Whalen
{"title":"Assessing probability and possibility of catastrophic failure in managed systems using sparse fuzzy data","authors":"T. Whalen","doi":"10.1109/NAFIPS.2010.5548266","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548266","url":null,"abstract":"Comparing risks of rare, high consequence events poses serious challenges to social decision making as well as deep methodological and epistemological problems. It is necessary to assess the merits of countermeasures that are only useful in extremely unlikely circumstances. The value of a conventional conditional probability P(A|B)=P(A∩B)/P(B) becomes too uncertain to be useful when P(B) is not well measurably different from zero. Possibility theory offers a solution to this dilemma. This paper presents a mathematical model of possibilistic uncertainty in the context of \"adventitious\" events for which the uncertainty surrounding the best estimate of the rate of occurrence is larger than that best estimate itself.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764934","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
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