Paper Info
Title
Low Retrieval Remote Querying Dialogue with Fuzzy Conceptual, Syntactical and Linguistical Unification
Abstract
In this paper we present a proposal of a flexible query answering system based on fuzzy logic. We introduce a fuzzy logic programming with a threshold cut and with connectives being arbitrary conjunctors, disjunctors (i.e. they do not need to be associative) and implicators. We use three types of unification: first of syntactical strings based on a similarity relation; second based on linguistic variables; third based on fuzzy conceptual lattices. Our systems assumes a fuzzy logic programming interpreter runs at the remote site. We propose a query dialogue where user can specify thresholds, number of truth values, finite (linear) approximations of fuzzy sets and connectives which are subject of tuning and learning, fuzzy conceptual lattice, fuzzy similarity relations and the form of answer required. This is intended to lower communication (retrieval) complexity. We present a computational (procedural) semantics which is sound and complete wrt. to declarative semantic.
Year
DOI
Venue
1998
10.1007/BFb0056003
FQAS
Keywords
Field
DocType
low retrieval remote querying,fuzzy conceptual,linguistical unification,fuzzy logic,linear approximation,fuzzy set
Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Natural language processing,Artificial intelligence,Fuzzy Control Language,Fuzzy number,Fuzzy associative matrix,Type-2 fuzzy sets and systems
Conference
ISBN
Citations 
PageRank 
3-540-65082-2
4
0.72
References 
Authors
8
5
Name
Order
Citations
PageRank
P. Krisko140.72
Peter Marcincák240.72
Peter Mihók323244.49
J. Sabol440.72
Peter Vojtás533633.41