{"title":"Data integration with granules","authors":"E. Louie","doi":"10.1109/NAFIPS.2008.4531345","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531345","url":null,"abstract":"Granule composition requires domain knowledge to combine appropriate granules to formulate meaningful and useful knowledge. Derived from the simple granules, the new granule is a knowledge approximation, which encompasses as a whole a new purpose unknown to the simple granules. In the paper, we demonstrate how granules, stored in a database system, are composed into new granules, and we show examples of new knowledge and function from the combined granules.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"121 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":"115855718","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}
{"title":"A multi-system model for interventions in continuous positive airway pressure treatment: A fuzzy logic approach","authors":"M. Kwiatkowska, A. Idzikowski, L. Matthews","doi":"10.1109/NAFIPS.2008.4531250","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531250","url":null,"abstract":"Continuous positive airway pressure (CPAP) therapy is the most widely used treatment for patients with moderate to severe obstructive sleep apnea (OSA), a serious chronic respiratory disorder. Although CPAP is a highly effective therapy, it is not, however, curative, and it must be used regularly to ameliorate OSA symptoms. Thus, the success of the therapy depends on the patient's compliance and proper use of the CPAP machine. The compliance and continuing use of CPAP might be improved by well-timed and well-designed interventions. There are three major types of interventions: mechanical (applying different types of CPAP machines, altering the air pressure), educational/psychological (improving patient's understanding of treatment, communicating with the health providers), and lifestyle (modifying diet and sleep habits). Therefore, a unified model for various types of interventions is critical for the success of the treatment. In this paper, we propose a multi-system model based on a fuzzy logic approach to assess the extent of the mechanical, educational/psychological, and lifestyle interventions. The CPAP- therapy intervention model, called CPAP-INT, has been designed as a component of a larger system for the comprehensive support of OSA treatment.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"16 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":"131518006","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}
{"title":"A new approach to measuring group consensus in MADM with preference information on alternatives","authors":"Q. Zhang, D. Luo","doi":"10.1109/NAFIPS.2008.4531216","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531216","url":null,"abstract":"A new approach is proposed for measuring the group consensus in the multiple attribute decision making (MADM) problems with preference information on alternatives. In the approach, multiple decision makers give their preference information on alternatives in different formats. The uniformity and aggregation processes with fuzzy majority method are employed to obtain the social fuzzy preference relation on the alternatives. Accordingly, an optimization model is constructed to assess the ranking values of the alternatives, based on which the group consensus is measured.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"40 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":"127174139","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}
{"title":"Preferences and bipolarity in query languages","authors":"L. Lietard, D. Rocacher","doi":"10.1109/NAFIPS.2008.4531239","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531239","url":null,"abstract":"The integration of user preferences into queries addressed to a relational database management system allows to obtain more relevant answers. This paper is a short review of the different languages (PreferenceSQL and SQLf) proposed to integrate users' preferences inside queries. A particular attention is put on the expression of preferences, and the impact it has on the result provided to the user. Two particular concepts are dealt with : commensurability and bipolarity. This framework can be the base for an extended SQLf language.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"29 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":"121460578","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}
{"title":"Game-theoretic probability","authors":"G. Shafer","doi":"10.1109/NAFIPS.2008.4531355","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531355","url":null,"abstract":"In 1939, the French mathematician Jean Ville demonstrated the inadequacy of Richard von Mises's frequency theory of probability. For von Mises, a sequence of 0s and 1s was random if the frequency of 1s converged to one-half on (1) the sequence as a whole and (2) any reasonably chosen subsequence. Convergence on subsequences is needed, he said, to keep a gambler from beating the odds by choosing when to bet. Ville pointed out that more is needed. The gambler can also vary the amount he bets and the side on which he bets. Since 2001, Vladimir and Vovk and I have sought to revive Ville's idea of basing probability on game theory. In this talk, I explain how the game-theoretic approach leads to a new understanding of classical probability and finance and a new method of prediction. I also discuss why Ville's ideas were forgotten by statisticians and philosophers for 60 years. Because he wrote in French? Because he was a prisoner of war? Because of his bohemian lifestyle? Because he spent too much time teaching and consulting to pay for it? Because he was a dilettante? Or was he just too far ahead of his time?","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"108 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":"123040120","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}
{"title":"Identifying temporal trajectories of association rules with fuzzy descriptions","authors":"M. Steinbrecher, R. Kruse","doi":"10.1109/NAFIPS.2008.4531243","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531243","url":null,"abstract":"We propose a novel postprocessing technique for identifying sets of association rules that expose a user-specified temporal development. We explicitly do not use a learning approach that requires the database to be subdivided into time frames. Instead, a global probabilistic learning method is used for induction. The resulting association rules are then matched against a set of fuzzy concepts. These concepts comprise user-built linguistic propositions that describe the evolution of rules that might be considered interesting. The proposed technique is evaluated on a real-world data set. To present the results, we introduce a modified rule visualization along the way that is an extension of our previous work.","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":"130100484","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}
{"title":"A Cognitive Map-Fuzzy Logic Controller model: Experiments on control objectives sensibility","authors":"J. L. Gonzalez, L. Aguilar, O. Castillo","doi":"10.1109/NAFIPS.2008.4531340","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531340","url":null,"abstract":"A hybrid model of cognitive map and Mamdani type fuzzy logic controller (CM-FLC) is presented; cognitive map portion of the system generates FLC design online using data from empirical sources, it also uses measured variable data to characterized controller performance in order to generate FLC fine-tuning, producing adaptive control behavior. Model sensitivity to designer specified control objectives is studied; simulations are presented to show model robustness to these empirically specified parameters under different levels of control.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"7 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":"129936072","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}
{"title":"Compositions of fuzzy relations with hedges II","authors":"Eduard Bartl, R. Belohlávek, Vilém Vychodil","doi":"10.1109/NAFIPS.2008.4531227","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531227","url":null,"abstract":"We continue our previous paper and explore an extension of compositions of fuzzy relations. The extension consists in modifying the standard formulas for composition by particular unary functions on the set of truth degrees. We study fuzzy relational equations using the new composition operators. As a particular example, the new operators lead to a decomposition of a fuzzy relation into a crisp relation and a fuzzy relation. We provide solvability criteria for several types of fuzzy relational equations. In addition, we present a connection between the new compositions and a particular type of data dependencies.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"7 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":"117057247","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}
{"title":"Examining granular computing from a modeling perspective","authors":"Ying Xie, J. Katukuri, V. Raghavan, T. Johnsten","doi":"10.1109/NAFIPS.2008.4531348","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531348","url":null,"abstract":"In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address the issues of interpretability and usage of discovered patterns.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"212 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":"115974351","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}
{"title":"Learning fuzzy measure parameters by logistic LASSO","authors":"Andres Mendez-Vazquez, P. Gader","doi":"10.1109/NAFIPS.2008.4531264","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531264","url":null,"abstract":"In this paper, a novel Bayesian hierarchical method is defined by the use of logistic distribution and a Laplacian prior to learn the parameters on fuzzy measures. The new algorithm goes beyond previously published MCE based approaches. It has the advantage that it is applicable to general measures, as opposed to only the Sugeno class of measures. In addition, the monotonicity constraints are handled easily with minimal time or storage requirements. This is made by the use of an alternated sampling to avoid favoring maxlike operators or min-like operators. The use of the logistic distribution eliminates the necessity of using desired outputs, and the Laplacian prior regularize the parameters in the fuzzy measures. Results are given on synthetic and real data sets, the latter obtained from a landmine detection problem.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"36 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":"126709310","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}