Paper Info
Title
Fuzzy Quantification Using Restriction Levels
Abstract
We introduce a model for the evaluation of fuzzy quantified expressions involving imprecise concepts. Imprecise concepts are assumed to be represented via restriction levels, a recently introduced representation of imprecision that extends the representation of fuzzy sets and introduces new operators. The proposal verifies all the properties required for the evaluation of quantified sentences, including all the properties involving negation. Particularly, the evaluation of "Some of A are ¬A" is definitely 0 for any fuzzy set A.
Year
DOI
Venue
2009
10.1007/978-3-642-02282-1_4
WILF
Keywords
Field
DocType
restriction levels,fuzzy quantification,fuzzy set,new operator,restriction level,imprecise concept
Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy set,Theoretical computer science,Artificial intelligence,Fuzzy number,Defuzzification,Pattern recognition,Fuzzy logic,Algorithm,Type-2 fuzzy sets and systems,Membership function
Conference
Volume
ISSN
Citations 
5571
0302-9743
8
PageRank 
References 
Authors
0.54
7
3
Name
Order
Citations
PageRank
Daniel Sánchez196760.29
Miguel Delgado21452121.94
María Amparo Vila Miranda3118293.57