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Three-way concept lattices triggered by Pythagorean fuzzy set and interval set
Three-way concept lattices offer a robust and flexible framework for analyzing complex data and understanding relationships and patterns within...
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Weighted Graphs and Fuzzy Graphs
One of the most important papers concerning fuzzy set theory in recent years is one by Klement and Mesiar, [1]. In this paper, it is shown that... -
Algebras with Fuzzy Equalities
The present chapter studies algebras with fuzzy equalities. Briely speaking, an algebra with fuzzy equality is a set equipped with a fuzzy equality... -
Subsethood Measures on a Bounded Lattice of Continuous Fuzzy Numbers with an Application in Approximate Reasoning
Analogical reasoning schemes have found widespread use ever since the inception of the Mamdani fuzzy rule-based system which can be seen both as an... -
Risk Assessment Modeling Based on a Graded Fuzzy Concept Lattice
Fuzzy concept analysis is a well developed field of mathematics with many useful applications in various “real-world” problems. On the other hand,... -
A semantics and a logic for Fuzzy Arden Syntax
Fuzzy programming languages, such as the Fuzzy Arden Syntax (FAS), are used to describe behaviours which evolve in a fuzzy way and thus cannot be...
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Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making
The notion of generalized orthopair fuzzy sets, as a natural extension of both intuitionistic fuzzy sets and Pythagorean fuzzy sets, provides a more...
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Construction of T-Vague Groups for Real-Valued Interference Channel
Interference is an obstacle to communication in wireless communication networks. One of the most employed methods to efficiently reduce interference... -
Intervals and More: Aggregation Functions for Picture Fuzzy Sets
Picture fuzzy sets, recently introduced by B. C. Cuong and V. Kreinovich, are a special case of L-fuzzy sets. We discuss the set of truth values for... -
Concept learning consistency under three-way decision paradigm
Concept Mining is one of the main challenges both in Cognitive Computing and in Machine Learning. The ongoing improvement of solutions to address...
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The fusion feature wavelet pyramid based on FCIS and GLCM for texture classification
Local binary pattern (LBP) is an effective texture feature extraction algorithm, but sensitive to noise. This paper proposes an improved LBP...
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The Fell Compactification of a Poset
A poset P forms a locally compact \(T_0\)-space in its Alexandroff topology. We consider the hit-or-miss topology on the closed sets of P and the... -
Application of grey-ANFIS system to optimize the drilling characteristics of nano SiC reinforced Al matrix composites
The present research examines cryogenic coolant's performance and effect on thrust force, burr height, cutting temperature, and surface finish while...
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Partial orders induced by the smallest and greatest nullnorms on bounded lattices
In this article, we deal with partial orders induced by the smallest and greatest nullnorms on bounded lattices, respectively. We first obtain the...
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Congruences on Lattices and Lattice-Valued Functions
For aŠešelja, Branimir completeTepavčević, Andreja lattice L and an L-valued function... -
Context of a Local Congruence Concept Reduction
In formal concept analysis, attribute reductions lead to equivalence relations on concept lattices. Lately, local congruences arose to enhance the... -
Mp- and purified residuated lattices
This paper applies a combination of algebraic and topological methods to obtain new and structural results on mp- and purified residuated lattices....
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Tamper-Proof Hardware from Emerging Technologies
Oftentimes, security-critical hardware needs to be placed in environments not conducive to secure operation. Publicly accessible compute nodes like... -
Generalized Ordinal Sum Constructions of t-norms on Bounded Lattices
In this contribution, we propose an ordinal sum construction of t-norms on bounded lattices from a system of lattices (endowed by t-norms) whose... -
Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring
Formal concept analysis has shown much potential in supporting personalized learning. This paper is motivated by several application scenarios of...