Fuzzy Query Processing in the Distributed Relational Databases Environment

Author(s):  
Shyi-Ming Chen ◽  
Hsin-Horng Chen
Author(s):  
Anderson Chaves Carniel ◽  
Aried de Aguiar Sa ◽  
Vinicius Henrique Porto Brisighello ◽  
Marcela Xavier Ribeiro ◽  
Renato Bueno ◽  
...  

2014 ◽  
Vol 86 (9) ◽  
pp. 14-22 ◽  
Author(s):  
K. NareshKumar ◽  
N. V. E. S Murthy ◽  
Ch. Satyanand Reddy
Keyword(s):  

2015 ◽  
Vol 1 (4) ◽  
pp. 10-15
Author(s):  
Le Tien Vuong

In this paper, we introduced a model of retrieval system based on the  theory of fuzzy sets in which we constructed a suitable storage structure with incomplete inverted files (they contain even some incomplete inverted files for a collection of fuzzy data of database). In this concept, we introduced a method for fuzzy query processing in the system and shown some retrieval strategies. The general response system was also defined and the ability of these strategies was investigated. 


2010 ◽  
pp. 97-101
Author(s):  
M Raja Narayana ◽  
B Sasikala ◽  
N Balakrishna

We propose a novel multi-dimensional search approach that allows users to perform fuzzy searches for structure and metadata conditions in addition to keyword conditions. Our techniques individually score each dimension and integrate the three dimension scores into a meaningful unified score. We also design indexes and algorithms to efficiently identify the most relevant files that match multi-dimensional queries. We perform a thorough experimental evaluation of our approach and show that our relaxation and scoring framework for fuzzy query conditions in non content dimensions can significantly improve ranking accuracy. We also show that our query processing strategies perform and scale well, making our fuzzy search approach practical for every day usage.


1993 ◽  
Vol 2 (4) ◽  
pp. 397-419 ◽  
Author(s):  
William H. Mansfield ◽  
Robert M. Fleischman

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