发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Towards quantum logic based multimedia retrieval 基于量子逻辑的多媒体检索
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531329
Ingo Schmitt, David Zellhöfer, A. Nürnberger
{"title":"Towards quantum logic based multimedia retrieval","authors":"Ingo Schmitt, David Zellhöfer, A. Nürnberger","doi":"10.1109/NAFIPS.2008.4531329","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531329","url":null,"abstract":"Searching in a huge collection of multimedia objects is a very complex task comprising different search paradigms such as classical retrieval search, database querying, and search with proximity conditions as well as a way to assign weights to different conditions. Thus, we need a sound formalism unifying underlying search concepts. The framework of fuzzy logic is often seen as such a unifying framework. Our work identifies some problems with fuzzy logic for multimedia retrieval, namely the dominance problem and the problem of violated logical laws such as idempotence and associativity especially when weighting is involved. Our approach is to apply a mathematical framework inspired by the theory of quantum mechanics and logic. We show that our quantum logic based query language overcomes problems of fuzzy logic in our context. This is due to the fact that we regard more semantics of a query and its involved conditions in comparison to fuzzy logic. A fuzzy t-norm, for example, deals with membership values whereas the conjunction in our framework is performed on subqueries.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"63 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":"134453102","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
Functional independence of elements and perceptual confidence factors 元素的功能独立性和感知置信度因素
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531268
K. Chakrabarty
{"title":"Functional independence of elements and perceptual confidence factors","authors":"K. Chakrabarty","doi":"10.1109/NAFIPS.2008.4531268","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531268","url":null,"abstract":"In this paper, we introduce the notions of functional independence of elements and perceptual confidence factors of experts with reference to some specific action taken within the framework of a given knowledge domain. Consequently we propose perceptual zero as a measure of belongingness of an object to a collection in whole in case of soft decision modeling. We discuss the underlying concept of zero as a precise numerical value and the concept of perceptual zero as an approximation towards the conceptual grading between belongingness and non-belongingness in case of knowledge representation under uncertainty. Considering the notion of functional independence of elements, we define the degree of coherence of opinions of the set of n experts regarding the objects in a collection. The degree of coherence of opinions is a probabilistic measure and it is observed that it increases with the increase in the value of the cardinality of the set of functionally independent elements.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"25 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":"114424805","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 assignable cause diagnosis of control chart patterns 控制图模式的模糊可分配原因诊断
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531260
K. Demirli, S. Vijayakumar
{"title":"Fuzzy assignable cause diagnosis of control chart patterns","authors":"K. Demirli, S. Vijayakumar","doi":"10.1109/NAFIPS.2008.4531260","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531260","url":null,"abstract":"Control chart patterns, besides determining the presence of assignable causes, also provide hints on the nature of assignable cause present. But relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this work, a fuzzy rule based system is developed for Xmacr chart, based on a chart pattern-cause relationship network, to resolve the uncertainties in identifying the control chart patterns and relating them to assignable causes.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"300 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":"116186094","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
Solving differential equations with fuzzy parameters 求解带有模糊参数的微分方程
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531291
A. Flores-Franulic, Y. Chalco-Cano, H. Román-Flores
{"title":"Solving differential equations with fuzzy parameters","authors":"A. Flores-Franulic, Y. Chalco-Cano, H. Román-Flores","doi":"10.1109/NAFIPS.2008.4531291","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531291","url":null,"abstract":"In this paper we study fuzzy differential equations with generalized derivative. We obtain some properties of the generalized derivative. We discuss the equivalenc of the fuzzy Cauchy problem and an Aumann-type integral equation. This study also makes some observations on the existence of solutions.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"39 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":"124895260","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 symbolic computing approach to evidence code mapping for biological data integration and subjective analysis for reference associations for metabolic pathways 一个符号计算方法的证据代码映射的生物数据集成和主观分析的参考关联代谢途径
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531321
S. Kher, Jianling Peng, E. SyrkinWurtele, J. Dickerson
{"title":"A symbolic computing approach to evidence code mapping for biological data integration and subjective analysis for reference associations for metabolic pathways","authors":"S. Kher, Jianling Peng, E. SyrkinWurtele, J. Dickerson","doi":"10.1109/NAFIPS.2008.4531321","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531321","url":null,"abstract":"Biological data are scattered across thousands of biological databases and hundreds of scientific journals. Integration among these databases faces numerous challenges including various levels of heterogeneity, limited accessibility, redundancy, and conflicts in the data. The integration process needs both quantitative and qualitative mechanisms to accommodate input metrics such as evidence, context, references, and experimental conditions, which are not uniform across the databases. Evidence codes reflect source reliability and data quality. However, different databases define their own evidence codes. This paper presents a mechanism to qualitatively integrate the evidence codes and the references specified by each database. The methodology is tested using a sample pathway from the BioCyc Tierl, KEGG, and MetNetDB pathway databases. The results are promising and form a concrete basis for data integration.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"2 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":"122983825","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
Powerful computerized spatial epidemiology and semantics through the use of novel mathematical objects: Can artificial intelligence systems identify outbreak sources? 通过使用新颖的数学对象，强大的计算机化空间流行病学和语义学:人工智能系统能否识别疫情来源?
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531286
T. Jefferson, E. Grossi, M. Buscema
{"title":"Powerful computerized spatial epidemiology and semantics through the use of novel mathematical objects: Can artificial intelligence systems identify outbreak sources?","authors":"T. Jefferson, E. Grossi, M. Buscema","doi":"10.1109/NAFIPS.2008.4531286","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531286","url":null,"abstract":"We report on the use of artificial intelligence methods to identify the source of infectious disease outbreaks. The idea is to seek a probabilistic fit between data describing the problem being considered and a set of data providing the solution or to reconstruct \"optimal data\" given a specific set of rules or constraints. We used three examples to calculate both the Euclidean centroid using simple mathematics the hidden point using an evolutionary algorithm, and a new mathematical object: the topological weighted centroid. In the first (the 1854 London cholera epidemic) and second (the 1967 foot and mouth disease epidemic in England) examples the hidden point was within yards of the outbreak source. In the third example (the 2007 epidemic of Chikungunya fever in Italy) the hidden point was located in the river between the two village epicentres of the spread. Our results are consistent across examples and the method could provide an additional powerful tool for the investigation of the early stages of an epidemic. However, there is a need for field evaluation and validation of both methods and results.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"249 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":"121080220","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: 4
T-norm and uninorm-based combination of belief functions 基于t范数和统一信息的信念函数组合
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531209
F. Pichon, Thierry Denoeux
{"title":"T-norm and uninorm-based combination of belief functions","authors":"F. Pichon, Thierry Denoeux","doi":"10.1109/NAFIPS.2008.4531209","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531209","url":null,"abstract":"The distinctness assumption is a limitation to the use of the unnormalized Dempster's rule. Denoeux recently proposed an alternative rule, called the cautious rule, which does not rely on this assumption. He further showed that the cautious rule and the unnormalized Dempster's rule belong to two families of combination rules having different algebraic properties. This paper revisits this latter point: the cautious and unnormalized Dempster's rules can be seen as member of families of combination rules based on triangular norms and uninorms, respectively. Furthermore, both rules have a special position in their respective family: they are the least committed elements. This paper also provides a means of obtaining an infinity of rules in the family of uninorm-based combination rules.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"252 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":"122721140","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
On filling-in missing attribute values for Bayes and fuzzy classifiers 贝叶斯和模糊分类器缺失属性值的填充
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531263
A. Ralescu, S. Visa
{"title":"On filling-in missing attribute values for Bayes and fuzzy classifiers","authors":"A. Ralescu, S. Visa","doi":"10.1109/NAFIPS.2008.4531263","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531263","url":null,"abstract":"Multidimensional classification problems often must address the issue of missing attribute values. The solution for this problem in the case of two frequency based classifiers is discussed here. The Bayes approach of boosting low frequency values, or filling-in missing values is compared to the interpolation operation used in the fuzzy classifiers.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"65 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":"126258863","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 multi-chromosome genetic algorithm optimization of a Proportional-plus-Derivative Fuzzy Logic Controller 比例加导数模糊控制器的简单多染色体遗传算法优化
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531273
N. Baine
{"title":"A simple multi-chromosome genetic algorithm optimization of a Proportional-plus-Derivative Fuzzy Logic Controller","authors":"N. Baine","doi":"10.1109/NAFIPS.2008.4531273","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531273","url":null,"abstract":"In this paper, a genetic algorithm is used to optimize the input and output fuzzy sets of a proportional-plus-derivative fuzzy logic controller (PDFLC). The center points of these sets are organized into \"chromosomes,\" and then bred and mutated in a genetic algorithm to produce a population of offspring. The offspring are then put through a fitness algorithm to determine which of them survive to breed the next generation. This iterative process results in a solution optimized toward the definition of a \"fit\" design. This design method is illustrated with a numerical example.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"35 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":"127261979","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
An ultra-fuzzy model of aggregate growth in catastrophic risk potentials 灾难性风险潜力下总增长的超模糊模型
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531214
M. Jablonowski
{"title":"An ultra-fuzzy model of aggregate growth in catastrophic risk potentials","authors":"M. Jablonowski","doi":"10.1109/NAFIPS.2008.4531214","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531214","url":null,"abstract":"Catastrophic loss potentials are characterized by very low probabilities of devastating (irreversible) damages. As a result of the complexities inherent in such exposures, and the limited availability of data, considerable uncertainties enter into their estimation and treatment. The difficulties increase when we consider the aggregation of such loss potentials. We suggest here that the growth of catastrophic loss potentials can be modeled using ultra-fuzzy sets, which capture the wide uncertainties involved. The ultra-fuzzy model has important implications for the way we manage high-stakes risks.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"220 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":"121622720","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信