General multiple-objective decision functions and linguistically quantified statements
International Journal of Man-Machine Studies - Lecture notes in computer science Vol. 174
Database queries with fuzzy linguistic quantifiers
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy querying with SQL: extensions and implementation aspects
Fuzzy Sets and Systems - Mathematical Modelling
Fuzzy logic with linguistic quantifiers in inductive learning
Fuzzy logic for the management of uncertainty
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
Towards the implementation of a generalized fuzzy relational database model
Fuzzy Sets and Systems
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Fuzzy information in extended fuzzy relational databases
Fuzzy Sets and Systems
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Linguistic Summarization of Time Series Under Different Granulation of Describing Features
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Fuzzy forecasting with DNA computing
DNA'06 Proceedings of the 12th international conference on DNA Computing
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In this paper, we are interested in mining the data with natural ordering according to some attributes, and the time series data is one of this kind of data. The problem of mining the time series data is that the quantity at different time may be very close or even equal to each other. To solve this problem, we propose a fuzzy linguistic summary as one of the data mining functions in our KDD (Knowledge Discovery in Databases) system to discover useful knowledge from the database. To help users to premine a database, our system also provides a graphic display tool so that the users can predetermine what knowledge could be discovered from the database. To demonstrate that our system works correctly, we use our system to analyze a time series data problem, the resources usage analysis problem, to predict the utilization ranks of different resources at a specific time.