[图书][B] Fuzzy relational systems: foundations and principles
R Belohlavek - 2012 - books.google.com
Since their inception, fuzzy sets and fuzzy logic became popular. The reason is that the very
idea of fuzzy sets and fuzzy logic attacks an old tradition in science, namely bivalent (black …
idea of fuzzy sets and fuzzy logic attacks an old tradition in science, namely bivalent (black …
[HTML][HTML] QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures
Considering the important role played by overlap and grouping functions in several
applications in which associativity is not demanded, in this paper we introduce the notion of …
applications in which associativity is not demanded, in this paper we introduce the notion of …
Restricted equivalence functions
In this paper we present the concept of a restricted equivalence function. This concept arises
on the one hand, from the definition of equivalence given by J. Fodor and M. Roubens, and …
on the one hand, from the definition of equivalence given by J. Fodor and M. Roubens, and …
Image thresholding using restricted equivalence functions and maximizing the measures of similarity
In this paper we apply restricted equivalence functions to the computation of the threshold of
an image. In the first part we present an algorithm for obtaining the best threshold of a …
an image. In the first part we present an algorithm for obtaining the best threshold of a …
Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: Image thresholding invariant
In this paper, we present the definition of restricted dissimilarity function. This definition
arises from the concepts of dissimilarity and equivalence function. We analyze the relation …
arises from the concepts of dissimilarity and equivalence function. We analyze the relation …
Subsethood, entropy, and cardinality for interval-valued fuzzy sets—an algebraic derivation
IK Vlachos, GD Sergiadis - Fuzzy sets and systems, 2007 - Elsevier
In this paper a unified formulation of subsethood, entropy, and cardinality for interval-valued
fuzzy sets (IVFSs) is presented. An axiomatic skeleton for subsethood measures in the …
fuzzy sets (IVFSs) is presented. An axiomatic skeleton for subsethood measures in the …
Definition and construction of fuzzy DI-subsethood measures
In this paper we study a method of construction of the fuzzy subsethood measures of VR
Young [VR Young, Fuzzy subsethood, Fuzzy Sets and Systems 77 (1996) 371–384] and the …
Young [VR Young, Fuzzy subsethood, Fuzzy Sets and Systems 77 (1996) 371–384] and the …
Uncertainty data in interval-valued fuzzy set theory
B Pękala - Properties, Algorithms and Applications, Studies in …, 2019 - Springer
The series “Studies in Fuzziness and Soft Computing” contains publications on various
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
The fuzzy lattice reasoning (FLR) classifier is presented for inducing descriptive, decision-
making knowledge (rules) in a mathematical lattice data domain including space RN …
making knowledge (rules) in a mathematical lattice data domain including space RN …
A trilevel analysis of uncertainty measuresin partition-based granular computing
Uncertainty measure is one of the most significant concepts and fundamental issues in
granular computing. Nowadays, there have been extensive studies on various uncertainty …
granular computing. Nowadays, there have been extensive studies on various uncertainty …