Results 31 to 40 of about 4,168,110 (322)
A Fuzzy Implication-Based Approach for Validating Climatic Teleconnections
Mathematics, 2022 Fuzzy logic, during recent decades, has evolved into one of the most influential scientific fields. To an extent, this is due to its applications which have a profound impact on the daily life of people worldwide.
Stefanos Makariadis, Basil Papadopoulos
doaj +1 more source
On the first place antitonicity in QL-implications [PDF]
, 2008 To obtain a demanded fuzzy implication in fuzzy systems, a number of desired properties have been proposed, among which the first place antitonicity, the second place isotonicity and the boundary conditions are the most important ones.
Shi, Yun +3 more
core +2 more sources
Fuzzy decision implications: interpretation within fuzzy decision context
CAAI Transactions on Intelligence Technology, 2019 Fuzzy decision implication is an extension of decision implication in the fuzzy setting, serving to uncover the dependencies of fuzzy attributes.
Jing Zhang, Yanhui Zhai, Deyu Li
doaj +1 more source
Implication functions in interval-valued fuzzy set theory [PDF]
, 2013 Interval-valued fuzzy set theory is an extension of fuzzy set theory in which the real, but unknown, membership degree is approximated by a closed interval of possible membership degrees.
Deschrijver, Glad
core +1 more source
Pseudo Overlap Functions, Fuzzy Implications and Pseudo Grouping Functions with Applications
Axioms, 2022 Overlap and grouping functions are important aggregation operators, especially in information fusion, classification and decision-making problems. However, when we do more in-depth application research (for example, non-commutative fuzzy reasoning ...
Xiaohong Zhang +6 more
doaj +1 more source
On Fuzzy Negations Generated by Fuzzy Implications
Formalized Mathematics, 2020 Summary We continue in the Mizar system [2] the formalization of fuzzy implications according to the book of Baczyński and Jayaram “Fuzzy Implications” [1]. In this article we define fuzzy negations and show their connections with previously defined fuzzy implications [4] and [5] and triangular norms and conorms [6].
openaire +2 more sources
Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
doaj +1 more source
Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]
, 2011 Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad +5 more
core +1 more source
Research of Inference Rules on Decision Implication and Variable Decision Implication [PDF]
Jisuanji kexue yu tansuo, 2022 Formal concept analysis is a data analysis method based on concept lattice, while decision implication and variable decision implication are two decision knowledge representations of formal concept analysis.
XUE Dongqian, ZHAI Yanhui, ZHANG Shaoxia, LI Deyu, XU Weihua
doaj +1 more source
An Overview of Fuzzy Implication and Its Generalizations
MathematicsFuzzy implication operators are vital in the modeling of uncertain reasoning, particularly in approximate reasoning and fuzzy inference systems. The objective of this survey is to provide a structured and comprehensive overview of fuzzy implication ...
Muhammad Gulzar +2 more
doaj +1 more source