Lingqiang Li

ORCID: 0000-0002-8666-1250
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About
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Research Areas
  • Rough Sets and Fuzzy Logic
  • Fuzzy and Soft Set Theory
  • Advanced Algebra and Logic
  • Multi-Criteria Decision Making
  • Fuzzy Logic and Control Systems
  • Data Mining Algorithms and Applications
  • Image Processing and 3D Reconstruction
  • Approximation Theory and Sequence Spaces
  • Extenics and Innovation Methods
  • Advanced Numerical Analysis Techniques
  • Data Management and Algorithms
  • Natural Language Processing Techniques
  • Fixed Point Theorems Analysis
  • Fuzzy Systems and Optimization
  • Rings, Modules, and Algebras
  • Opportunistic and Delay-Tolerant Networks
  • Digital Image Processing Techniques
  • Advanced Optimization Algorithms Research
  • Semantic Web and Ontologies
  • Water Quality Monitoring and Analysis
  • Constraint Satisfaction and Optimization
  • Logic, Reasoning, and Knowledge
  • Optimization and Mathematical Programming
  • Scheduling and Optimization Algorithms
  • Multi-Agent Systems and Negotiation

Liaocheng University
2016-2025

Changsha University of Science and Technology
2019

Shandong University of Science and Technology
2018

Hunan University
2014-2015

Guilin University of Electronic Technology
2011

Jining University
2010

Sichuan University
2007-2008

Fo Guang Shan
2005

Currently, the utilization of semi-overlap functions has become increasingly widespread in constructing fuzzy rough sets. However, intuitionistic set models, grounded functions, and their applications have not been studied. Therefore, this paper introduces a novel β⋆-covering model that builds upon applies it to address multi-criteria decision-making challenges. Initially, we present concepts (semi-grouping) subsequently develop four β⋆-neighborhood operators. Next, propose some new models...

10.2139/ssrn.5084789 preprint EN 2025-01-01

10.1007/s40314-025-03106-0 article EN Computational and Applied Mathematics 2025-02-01

10.1016/j.fss.2025.109413 article EN Fuzzy Sets and Systems 2025-04-01

Axiomatic characterization is the foundation of L-fuzzy rough set theory: axiom sets approximation operators guarantee existence relations or coverings that reproduce operators. characterizations based on have not been fully explored, although those studied thoroughly. Focusing three pairs widely used covering-based operators, we establish an for each them, and their independence examined. It should be noted operator different from its crisp counterpart, with either new stronger included in version.

10.1080/03081079.2017.1308360 article EN International Journal of General Systems 2017-04-10

Consider L being a continuous lattice, two functors from the category of convex spaces (denoted by CS) to stratified L-convex SL-CS) are defined. The first functor enables us prove that CS can be embedded in SL-CS as reflective subcategory. second coreflective subcategory when satisfying multiplicative condition. By comparing and well known Lowen (between topological L-topological spaces), we exhibit difference between (stratified L-)topological L-)convex spaces.

10.1186/s40064-016-3255-5 article EN SpringerPlus 2016-09-19

10.1016/j.fss.2010.10.002 article EN Fuzzy Sets and Systems 2010-10-15

10.1016/j.fss.2018.05.023 article EN Fuzzy Sets and Systems 2018-05-30

The theory of abstract convexity exists in many mathematical branches such as algebra, topology and order. fuzzification is one important directions towards the discussion convexity. (L, M)-convex spaces very general fuzzy since it includes oth er convexities its special case. In this paper, we shall introduce a subcategory study property. This called enriched denoted by ELMCS. main results are: (1) ELMCS topological category; (2) coreflective category spaces; (3) M-fuzzifying convex...

10.3233/jifs-161491 article EN Journal of Intelligent & Fuzzy Systems 2017-11-29

The rough sets based on L-fuzzy relations and coverings are the two most well-known sets. Quite recently, we prove that some of these can be unified into one framework—rough L-generalized fuzzy neighborhood systems. So, study system has more general significance. Axiomatic characterization is foundation set theory: axiom approximation operators guarantee existence relations, reproduce operators. In this paper, shall give an axiomatic system-based particular, will seek to characterize...

10.1080/03081079.2017.1407928 article EN International Journal of General Systems 2017-12-07

In this paper, a connectedness in stratified L-generalized convergence spaces, is defined and discussed. This different from Jäger's connectedness, particular, it for L-subsets however crisp subsets. Thus give partly answer to question 2016: define lattice-valued spaces. Then the basic properties of are

10.2989/16073606.2018.1441920 article EN Quaestiones Mathematicae 2018-03-16

10.1007/s13042-020-01237-w article EN International Journal of Machine Learning and Cybernetics 2021-01-16

10.1007/s13042-023-01800-1 article EN International Journal of Machine Learning and Cybernetics 2023-02-23

Let $L$ be an integral and commutative quantale. In this paper, by fuzzifying the notion of generalized neighborhood systems, $L$-fuzzy neighborhoodsystem is introduced then a pair lower upperapproximation operators based on it are defined discussed. It proved that these approximation include system-based operators, $L$-fuzzyrelation-based $L$-fuzzycovering-based as their specialcircumstances. Therefore, research generalizedneighborhood has more generalsignificance. addition, when system...

10.22111/ijfs.2019.5019 article EN Iranian journal of fuzzy systems 2019-12-01
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