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fuzzy database manages the uncertainty and vagueness associated with either entities, attributes and relationships. this can be implemented in relational database model (fuzzy extension) or using object oriented databse model.
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∙ 12y ago
A fuzzy database incorporates fuzzy logic to handle imprecise or uncertain information. It allows for flexible querying and supports reasoning with vague or incomplete data. Fuzzy databases are useful in situations where traditional databases fall short due to their reliance on crisp, exact values.
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Data base state vs database schema?
The database state refers to the current data stored in the database, including all records and their values. On the other hand, the database schema refers to the structure of the database, including tables, columns, constraints, and relationships. The schema defines how the data is organized and stored in the database.
What is the scientific name for the american fuzzy lop?
The scientific name for the American Fuzzy Lop rabbit is Oryctolagus cuniculus.
What are names of databases?
Database names are the identifying names that users provide when creating a database. These names must be unique within the location in which they are cataloged. The name differentiates the database from any other database in either the local database directory or the system database directory
What diff between the database and database system?
A database is a collection of organized data, while a database system is a software application that manages, stores, and retrieves data from that database. The database system includes software for managing the database, as well as tools for interacting with the data, ensuring data integrity, and controlling access to the data.
What factors determine the database you search?
The factors that determine the database you search include the type of information or data you are looking for, the relevance of the database to your topic or research, the quality and reliability of the database, and whether the database covers the specific subject area or discipline you are interested in.
Describe the theory of Fuzzy Querying to Relational Databases?
Fuzzy querying in relational databases involves retrieving results that are approximate or similar to the query conditions specified by the user. This can help account for variations, typos, or inaccuracies in the data. Fuzzy querying usually involves techniques like similarity matching, partial matching, or using fuzzy logic to provide more flexible and inclusive search results.
If fuzzy wuzzy wasn't fuzzy why is he fuzzy wuzzy?
because fuzzy wazzy was fuzzy
When you call fuzzy set as fuzzy graph?
fuzzy graph is not a fuzzy set, but it is a fuzzy relation.
Was fuzzy wuzzy really fuzzy?
Fuzzy wuzzy had no hair, fuzzy wuzzy wasn't fuzzy was he.
Why is fuzzy bear so fuzzy?
fuzzy wuzzy had no hair... therefore he cannot be fuzzy
What is fuzzy system?
 Fuzzy inference is a computer paradigm based on fuzzy set theory, fuzzy if-then- rules and fuzzy reasoning  Applications: data classification, decision analysis, expert systems, times series predictions, robotics & pattern recognition  Different names; fuzzy rule-based system, fuzzy model, fuzzy associative memory, fuzzy logic controller & fuzzy system Fuzzy inference is a computer paradigm based on fuzzy set theory, fuzzy if-then- rules and fuzzy reasoning  Applications: data classification, decision analysis, expert systems, times series predictions, robotics & pattern recognition  Different names; fuzzy rule-based system, fuzzy model, fuzzy associative memory, fuzzy logic controller & fuzzy system
Fuzzy logic previous papers please?
fuzzy logic papers fuzzy logic papers fuzzy logic papers
Fuzzy Wuzzy was a bear Fuzzy Wuzzy had no hair Fuzzy Wuzzy wasn't fuzzy was he?
Fuzzy-Wuzzy (a poem by English author and poet Rudyard in 1892) refers to the Hadenoda warriors who fought the British army in North Africa and the respect of the ordinary British soldier toward them. The name "Fuzzy-Wuzzy" could be entirely English in origin, or it could combine some sort of Arabic pun (by chance based on ghazī, "warrior"). It refers to their butter-matted hair that gave them a unique "fuzzy" look.
Are fuzzy putunias fuzzy?
Yes they are.
Is salt fuzzy?
Salt is not fuzzy.
What is check point in DBMS?
fuzzy checkpointIn a fuzzy checkpoint, the database server does not flush the modified pages in the shared-memory buffer pool to disk for certain types of operations, called fuzzy operations. When a fuzzy checkpoint completes, the pages might not be consistent with each other, because the database server does not flush all data pages to disk. A fuzzy checkpoint completes much more quickly than a full checkpoint and reduces the amount of physical logging during heavy update activity. When necessary, the database server performs a full checkpoint to ensure the physical consistency of all data on disk. Fuzzy OperationsThe following commonly used operations are fuzzy for built-in data types:InsertsUpdatesDeletesThe following operations are nonfuzzy:Inserts, updates, and deletes for rows that contain user-defined data types, smart large objects (CLOB and BLOB data types), or simple large objects (TEXT and Byte data types)Table alters and loadsOperations that create or modify indexes (B-tree, R-tree, or user-defined indexes)The database server flushes all the modified data pages for nonfuzzy operations to disk during a fuzzy checkpoint in the same way as for a full checkpoint.Important:Fuzzy checkpoints are disabled for the primary and secondary servers in a High-Availability Data Replication pair.Write-Ahead Logging and Fast RecoveryFuzzy checkpoint uses write-ahead logging for fast recovery. Write-ahead logging means that the logical-log records representing changes to fuzzy data must be on disk before the changed data replaces the previous version of the data on disk. Fast recovery begins with the oldest update not yet flushed to disk rather than with the previous checkpoint.Fuzzy checkpoints result in slightly longer roll-forward fast-recovery times. The database server occasionally performs a full checkpoint to prevent loss of old logical-log records.Fuzzy Checkpoints Improve PerformanceFuzzy checkpoints are much faster than full checkpoints and improve transaction throughput. Because the database server does not log fuzzy operations in the physical log, the physical log does not fill as quickly, and checkpoints occur less often. For example, if you are inserting and updating a lot of data, checkpoints occur less frequently and are shorter.The database server skips a full checkpoint if all data is physically consistent when the checkpoint interval expires. It skips a fuzzy checkpoint only if no pages have been dirtied since the last checkpoint.To improve transaction throughput, use the BUFFERPOOL configuration parameter to increase thelru_max_dirty and lru_max_dirty values. However, do not change the gap between the lru_max_dirty andlru_max_dirty values.
Fuzzy wuzzy was a bear?
Fuzzy wuzzy was a bear But Fuzzy wuzzy had no hair So he wasn't fuzzy, wuzzy?
