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

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A generalized fuzzy extension of EL++ EL++的广义模糊扩展
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-08-16 DOI: 10.1109/NAFIPS.2010.5548202
A. Bahri, Rafik Bouziz, F. Gargouri
{"title":"A generalized fuzzy extension of EL++","authors":"A. Bahri, Rafik Bouziz, F. Gargouri","doi":"10.1109/NAFIPS.2010.5548202","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548202","url":null,"abstract":"Fuzzy extensions of Description Logics are generally based on precise membership functions which assign a particular real number to an element or a subset of the universe. In some cases where we may only be able to identify approximately appropriate membership degrees the use of precise membership functions become unsuitable. In this paper we propose a generalized fuzzy extension of the description logic EL<sup>++</sup>, named Gf-EL<sup>++</sup>, based on interval-valued fuzzy sets. We present the syntax and the semantics of Gf-EL<sup>++</sup> which uses an extension of concept subsumption with “interval-valued fuzzy subsumption”. We equally propose a tractable subsumption algorithm for Gf-EL<sup>++</sup>.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381542","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
Operations on type-2 fuzzy sets based on the set of pseudo-highest intersection points of convex fuzzy sets 基于凸模糊集伪最高交点集的二类模糊集的运算
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548213
H. Tahayori, A. Sadeghian, A. Visconti
{"title":"Operations on type-2 fuzzy sets based on the set of pseudo-highest intersection points of convex fuzzy sets","authors":"H. Tahayori, A. Sadeghian, A. Visconti","doi":"10.1109/NAFIPS.2010.5548213","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548213","url":null,"abstract":"One of the main burdens of using general type-2 fuzzy sets relates to the cost of their basic operations. In this paper we will discuss how the set of pseudo highest intersection points of two convex fuzzy sets can be used to provide algorithms for performing union and intersection operations on convex type-2 fuzzy sets with min and product t-norm and max t-conorm.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"357 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":"122723691","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
Alternate world interpretation of NEW ciset operators NEW ciset操作符的交替世界解释
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548276
P. Nair, S. Cheng
{"title":"Alternate world interpretation of NEW ciset operators","authors":"P. Nair, S. Cheng","doi":"10.1109/NAFIPS.2010.5548276","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548276","url":null,"abstract":"In this paper we present a formal model of semantics for newly introduced [8] operators of cisets. The notion of alternate worlds is used to formalize the information content of a cisets. A ciset represents a collection of (regular) sets. Once this collection has been identified, any ciset operator can be applied on the collection of (regular) sets represented by cisets involved. This approach is computationally inefficient and is introduced solely to explain in a formal way, the semantics of newly introduced operators.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"27 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":"123034898","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
One-shot training algorithm for self-feedback neural networks 自反馈神经网络的单次训练算法
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548272
M. Amiri, A. Sadeghian, S. Chartier
{"title":"One-shot training algorithm for self-feedback neural networks","authors":"M. Amiri, A. Sadeghian, S. Chartier","doi":"10.1109/NAFIPS.2010.5548272","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548272","url":null,"abstract":"Incorporation of a specific number of stable fixed points (attractors) in a neural network is an important issue in many applications, including image processing and pattern recognition. The vast majority of model requires hundred presentation of the patterns before the learning is converged. This increases the simulation time considerably and thus limit their practical applications. In this paper, a simple and one-shot training algorithm is presented to determine the value of network parameters to control the number of fixed points and simultaneously their stability characteristics in self-feedback neural networks (SFNN). A number of explicit relationships among network parameters such as self-feedback coefficients, input weight matrix and the number of equilibrium points, are obtained. Several simulations are provided to show the effectiveness of the analytical results presented in the paper.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"89 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":"116814960","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 comparative study between fuzzy c-means and ckMeans algorithms 模糊c-means算法与ckMeans算法的比较研究
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548194
Rogeario R. de Vargas, B. R. C. Bedregal
{"title":"A comparative study between fuzzy c-means and ckMeans algorithms","authors":"Rogeario R. de Vargas, B. R. C. Bedregal","doi":"10.1109/NAFIPS.2010.5548194","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548194","url":null,"abstract":"Clustering is a useful approach in data mining, image segmentation, and other problems of pattern recognition. Fuzzy clustering process can be quite slow when there are many objects or pattern to be clustered. This article discusses about an algorithm, ckMeans, which is able to reduce the number of distinct patterns which must be clustered without adversely affecting partition quality. The reduction is done by calculating a new mathematical equation to obtaining center cluster. To validate the proposed methodology we compared the original fuzzy c-means algorithm with that proposed in this paper.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"31 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":"121101292","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: 17
Conscious percept formation using fuzzy entropy measures of neuronal multiplex signals 利用神经元多路信号的模糊熵测度形成意识知觉
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548207
C. Helgason, T. Jobe
{"title":"Conscious percept formation using fuzzy entropy measures of neuronal multiplex signals","authors":"C. Helgason, T. Jobe","doi":"10.1109/NAFIPS.2010.5548207","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548207","url":null,"abstract":"One goal of automation is to mimic the smoothness and efficiency of human performance. Fuzzy logic based soft computing and engineering works towards this goal. The obvious difference between machines and humans is that of life. If one could understand the method by which human perception and motor response takes place one might conceive of a means to automate these capabilities. The anatomy and physiology of the living nervous system are notable in this respect. In the mammalian brain, the pyramidal neuron of the cerebral cortex plays a key role in perception. Pyramidal cell axons exhibit clusters of action potentials that form a multiplex code allowing multiple parallel patterns of information to travel in the same time frame along that axon. Selective decoding at different target locations within the central nervous system then takes place. We propose that the anatomy of the cerebral cortex and pyramidal neuron is uniquely suited to distribute a multiplex signal, and that this property then provides the basis for a common code for perceptual and motor representations. Thinking of the anatomy in terms of geometry, we are able to predict the increase in length of the apical dendrites of pyramidal neurons from cortical layers 2 to 6 on the basis of a property of the doubled fuzzy hypercube (unit square). A decrease in fuzzy entropy of incoming signals takes place as engrams and new signals arrive bband are passed down through these layers to pyramidal cell layer 5. Perceptions and motor action plans are separated out by demultiplexing so that conscious percepts are executed by the thalamoreticular system and corresponding motor plans by the corticospinal tract. This is possible because of differential demultiplexing mediated by inhibitory gabaergic neurons of the same multiplex signal at the relevant target areas. The important feature of this process is its plasticity, due to synaptopoeisis which is a continuous remodeling process of synaptic location.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"36 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":"121419192","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
Clustering uncertain interval data using a new Hausdorff-based metric 使用新的基于hausdorff的度量聚类不确定区间数据
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548291
M. Zarandi, M. Avazbeigi, M. Anssari, I. Turksen
{"title":"Clustering uncertain interval data using a new Hausdorff-based metric","authors":"M. Zarandi, M. Avazbeigi, M. Anssari, I. Turksen","doi":"10.1109/NAFIPS.2010.5548291","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548291","url":null,"abstract":"This paper presents a new index for measuring interval distances and its related metric. The proposed index and metric are both based on the Hausdorff distance which can be used for clustering uncertain interval data. Then using the new metric, a clustering method is introduced for clustering of intervals. Finally, some experiments are provided to validate the method. Results show that the method can identify appropriate clusters efficiently.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"20 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":"126584403","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 new intelligent multi-agent system for management of ordering policies in a fuzzy supply chain 基于多智能体的模糊供应链订货策略管理系统
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548258
M. Zarandi, M. Avazbeigi, M. Anssari, A. Mohaghar, I. Turksen
{"title":"A new intelligent multi-agent system for management of ordering policies in a fuzzy supply chain","authors":"M. Zarandi, M. Avazbeigi, M. Anssari, A. Mohaghar, I. Turksen","doi":"10.1109/NAFIPS.2010.5548258","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548258","url":null,"abstract":"In this paper a new intelligent multi-agent system is proposed for finding the best ordering policy. The best ordering policy is the policy which minimizes the total cost of the supply chain that is the sum of all echelons' costs over all periods. The best ordering policy is obtained by a new window-base genetic algorithm. One limitation of the previous presented GA-based algorithms is the constraint of the fixed ordering rule for each member through the time. To resolve this problem a new concept –window- is introduced that is a parameter of the model. Application of the window basis enables the agents to have different ordering policies through the time. Another limitation of the previous research is the weak management of uncertainty. In this research, supply chain's main parameters such as demand value, ordering amount, lead time and costs are all modeled by fuzzy numbers. The results show that the proposed multiagent system has a lower cost in comparison with similar research in the literature.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"67 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":"133422138","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
Modeling linguistic label perception in tourism e-satisfaction with type-2 fuzzy sets 基于2型模糊集的旅游电子满意度语言标签感知建模
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548185
M. Moharrer, H. Tahayori, A. Sadeghian
{"title":"Modeling linguistic label perception in tourism e-satisfaction with type-2 fuzzy sets","authors":"M. Moharrer, H. Tahayori, A. Sadeghian","doi":"10.1109/NAFIPS.2010.5548185","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548185","url":null,"abstract":"Type-2 fuzzy sets are shown to be able to handle inter and intra uncertainties of group of experts about a concept, however one of their main difficulties is elicitation of their membership functions. This paper discusses a method for type-2 fuzzy membership function elicitation of labels used in a survey on tourism online satisfaction. The method is based on the implementation of factor analysis that ends with different questions to be loaded into five main factors for which effective weights are then calculated using regression analysis.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"192 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":"132291909","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: 13
Knowledge presentation according to the linkage intensity 根据关联强度表示知识
2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI: 10.1109/NAFIPS.2010.5548277
S. Cheng, P. Nair
{"title":"Knowledge presentation according to the linkage intensity","authors":"S. Cheng, P. Nair","doi":"10.1109/NAFIPS.2010.5548277","DOIUrl":"https://doi.org/10.1109/NAFIPS.2010.5548277","url":null,"abstract":"The objective of this paper is to study methods of knowledge representation, such as frame approaches, production systems, semantic network, and symbolic logic, can be found in literatures. In this paper, we study the notions of similar relation of sets and linkage sets that can be used in not only the characterization of the relation, but also the knowledge representation system and pattern recognition.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"11 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":"123611223","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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