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Handbook of Research on Fuzzy Information Processing in Databases最新文献

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Hierarchical Fuzzy Sets to Query Possibilistic Databases 查询可能性数据库的层次模糊集
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 2008-05-01 DOI: 10.4018/978-1-59904-853-6.ch012
R. Thomopoulos, P. Buche, Ollivier Haemmerlé
{"title":"Hierarchical Fuzzy Sets to Query Possibilistic Databases","authors":"R. Thomopoulos, P. Buche, Ollivier Haemmerlé","doi":"10.4018/978-1-59904-853-6.ch012","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.ch012","url":null,"abstract":"Within the framework of flexible querying of possibilistic databases, based on the fuzzy set theory, this chapter focuses on the case where the vocabulary used both in the querying language and in the data is hierarchically organized, which occurs in systems that use ontologies. We give an overview of previous works concerning two issues: firstly, flexible querying of imprecise data in the relational model; secondly, the introduction of fuzziness in hierarchies. Concerning the latter point, we develop an aspect where there is a lack of study in current literature: fuzzy sets whose definition domains are hierarchies. Hence we propose the concept of hierarchical fuzzy set and present its properties. We present its application in the MIEL flexible querying system, for the querying of two imprecise relational databases, including user interfaces and experimental results.","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122855369","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
Fuzzy Inclusion Dependencies in Fuzzy Databases 模糊数据库中的模糊包含依赖关系
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.ch026
A. Sharma, A. Goswami, D. Gupta
{"title":"Fuzzy Inclusion Dependencies in Fuzzy Databases","authors":"A. Sharma, A. Goswami, D. Gupta","doi":"10.4018/978-1-59904-853-6.ch026","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.ch026","url":null,"abstract":"Crisp databases and fuzzy databases are developed to provide users with the ability to store data that can be used in deriving information satisfying their needs. The design of these databases requires several theoretical foundations, efficiency, and ease of use. Thus, they accommodate a wider range of real-world requirements and provide a friendlier environment for man-machine interaction. The ABsTRACT","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121435325","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
Fuzzy Imputation Method for Database Systems 数据库系统的模糊插补方法
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH033
J. I. Peláez, J. Doña, D. Red
{"title":"Fuzzy Imputation Method for Database Systems","authors":"J. I. Peláez, J. Doña, D. Red","doi":"10.4018/978-1-59904-853-6.CH033","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH033","url":null,"abstract":"The missing data and nonresponse problem is a usual difficulty of particular concern in medical and social science databases. Dealing with nonresponse can be a difficult matter and it is important to apply adequate missing data methods to obtain valid inference. Missing data is a very common problem in real data sets, and different methods to solve this problem have been developed. A simple and common strategy is to ignore missing values, thus reducing the size of the useful data set. The experience in databases has demonstrated the dangers of simply removing cases (listwise deletion) from the original data set, and deletion can introduce AbstrAct","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132105565","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
Qualifying Objects in Classical Relational Database Querying 经典关系数据库查询中的限定对象
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH009
C. Tudorie
{"title":"Qualifying Objects in Classical Relational Database Querying","authors":"C. Tudorie","doi":"10.4018/978-1-59904-853-6.CH009","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH009","url":null,"abstract":"Database querying by various selection criteria can often confront a major limitation: the difficulty to realize and express precise criteria for locating the information. This happens because people do not always think and speak in precise terms, or they do not have details on the data range. The research community recently proposed a new way to query databases, more expressive and flexible than the classical one. It is about vague queries, for example: “retrieve the persons well paid which live not too far from the office”, of course, formulated in an adequate query language. The main reason to use the vague predicates well paid and not too far is to express more flexibly the user’s preferences and at the same time to rank the selected tuples by a degree of criteria satisfaction. When a precise criterion, like “salary > 500 and distance home-office < 200” is required, it may return an empty list, even if there are a lot of persons having attribute values very close to the specified ones. As well, the same precise criterion may return a complete list of all persons, without any helpful ordering. So, it would be useful to provide intelligent interfaces to databases, able to interpret and evaluate imprecise criteria in queries. AbstrAct","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131536665","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: 34
Data Model of FRDB with Different Data Types and PFSQL 不同数据类型的FRDB数据模型与PFSQL
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH016
A. Takaci, S. Skrbic
{"title":"Data Model of FRDB with Different Data Types and PFSQL","authors":"A. Takaci, S. Skrbic","doi":"10.4018/978-1-59904-853-6.CH016","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH016","url":null,"abstract":"One of the disadvantages of the relational model is its disability to model uncertain and incomplete data. The idea to use fuzzy sets and fuzzy logic to extend existing database models to include these possibilities has been utilized since the 1980s. Although this area has been researched for a long time, concrete implementations are rare. Literature contains references to several models of fuzzy knowledge representation in relational databases. One of the early works, the BucklesPetry model (Buckles & Petry, 1982), is the first model that introduces similarity relations in the relational model. This chapter gives a structure for representing inexact information in the form of a relational database. The structure differs from ordinary relational databases in two important AbstrAct","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957029","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: 38
Incremental Discovery of Fuzzy Functional Dependencies 模糊函数依赖的增量发现
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH024
Shyue-Liang Wang, Ju-Wen Shen, T. Hong
{"title":"Incremental Discovery of Fuzzy Functional Dependencies","authors":"Shyue-Liang Wang, Ju-Wen Shen, T. Hong","doi":"10.4018/978-1-59904-853-6.CH024","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH024","url":null,"abstract":"","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132837624","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
Applying Fuzzy Data Mining to Tourism Area 模糊数据挖掘在旅游区中的应用
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH022
R. Carrasco, F. Araque, A. Salguero, M. Vila
{"title":"Applying Fuzzy Data Mining to Tourism Area","authors":"R. Carrasco, F. Araque, A. Salguero, M. Vila","doi":"10.4018/978-1-59904-853-6.CH022","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH022","url":null,"abstract":"","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121015971","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: 8
Introduction and Trends to Fuzzy Logic and Fuzzy Databases 模糊逻辑和模糊数据库的介绍和发展趋势
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH001
José Galindo
{"title":"Introduction and Trends to Fuzzy Logic and Fuzzy Databases","authors":"José Galindo","doi":"10.4018/978-1-59904-853-6.CH001","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH001","url":null,"abstract":"This chapter presents an introduction to fuzzy logic and to fuzzy databases. With regard to the first topic, we have introduced the main concepts in this field to facilitate the understanding of the rest of the chapters to novel readers in fuzzy subjects. With respect to the fuzzy databases, this chapter gives a list of six research topics in this fuzzy area. All these topics are briefly commented on, and we include references to books, papers, and even to other chapters of this handbook, where we can find some interesting reviews about different subjects and new approaches with different goals. Finally, we give a historic summary of some fuzzy models, and we conclude with some future trends in this scientific area.","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583463","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: 25
Fuzzy Classification in Shipwreck Scatter Analysis 沉船离散分析中的模糊分类
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH020
Y. Veryha, J. Blot, J. Coelho
{"title":"Fuzzy Classification in Shipwreck Scatter Analysis","authors":"Y. Veryha, J. Blot, J. Coelho","doi":"10.4018/978-1-59904-853-6.CH020","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH020","url":null,"abstract":"","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131795482","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
Introduction to Fuzzy Data Mining Methods 模糊数据挖掘方法导论
Handbook of Research on Fuzzy Information Processing in Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-853-6.CH003
Balazs Feil, J. Abonyi
{"title":"Introduction to Fuzzy Data Mining Methods","authors":"Balazs Feil, J. Abonyi","doi":"10.4018/978-1-59904-853-6.CH003","DOIUrl":"https://doi.org/10.4018/978-1-59904-853-6.CH003","url":null,"abstract":"","PeriodicalId":118992,"journal":{"name":"Handbook of Research on Fuzzy Information Processing in Databases","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134405100","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: 14
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