Approximations and uncertainty measures in incomplete information systems
From MaRDI portal
Publication:712662
DOI10.1016/j.ins.2012.02.032zbMath1248.68487OpenAlexW2009643043MaRDI QIDQ712662
Publication date: 17 October 2012
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2012.02.032
Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)
Related Items (45)
Uncertainty Measurement for Covering Rough Sets ⋮ Matrix representations and interdependency on \(L\)-fuzzy covering-based approximation operators ⋮ A computational formulation of distribution reducts in probabilistic rough set models ⋮ Generalized rough sets based on neighborhood systems and topological spaces ⋮ Maximal limited similarity-based rough set model ⋮ Entropy measures and granularity measures for interval and set-valued information systems ⋮ A New Type of Covering-Based Rough Sets ⋮ Information-theoretic measures of uncertainty for interval-set decision tables ⋮ Characteristic matrix of covering and its application to Boolean matrix decomposition ⋮ Double-quantitative variable consistency dominance-based rough set approach ⋮ Matroidal structure of rough sets based on serial and transitive relations ⋮ On resilient feature selection: computational foundations of \(r\)-\(\mathbb{C} \)-reducts ⋮ Attribute reduction of data with error ranges and test costs ⋮ Fuzzy rough set model for set-valued data ⋮ Communication between fuzzy information systems using fuzzy covering-based rough sets ⋮ Uncertainty measures for interval set information tables based on interval \(\delta \)-similarity relation ⋮ Attribute Reduction of Incomplete Information Systems: An Intuitionistic Fuzzy Rough Set Approach ⋮ A Rough Set Approach to Incomplete Data ⋮ The Matroidal Structures of the Second Type of Covering-Based Rough Set ⋮ Entropy measures and granularity measures for set-valued information systems ⋮ Rough set approach to incomplete numerical data ⋮ Uncertainty measurement for interval-valued information systems ⋮ A novel method for attribute reduction of covering decision systems ⋮ Rough approximation operators on \(R_0\)-algebras (nilpotent minimum algebras) with an application in formal logic \(\mathcal{L}^\ast\) ⋮ An entropy-based uncertainty measurement approach in neighborhood systems ⋮ Some properties of \( L\)-fuzzy approximation spaces based on bounded integral residuated lattices ⋮ On measurements of covering rough sets based on granules and evidence theory ⋮ A measurement theory view on the granularity of partitions ⋮ On some types of fuzzy covering-based rough sets ⋮ Fuzzifying ideal convergence in fuzzifying topological linear spaces ⋮ A fuzzy covering-based rough set model and its generalization over fuzzy lattice ⋮ Information acquisition processes and their continuity: transforming uncertainty into risk ⋮ An incremental approach to obtaining attribute reduction for dynamic decision systems ⋮ Fuzzy set-valued information systems and the algorithm of filling missing values for incomplete information systems ⋮ Generalized rough set models determined by multiple neighborhoods generated from a similarity relation ⋮ Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems ⋮ Feature selection and approximate reasoning of large-scale set-valued decision tables based on \(\alpha\)-dominance-based quantitative rough sets ⋮ Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions ⋮ Maximal similarity granular rough sets for mixed and incomplete information systems ⋮ A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems ⋮ Uncertainty measures for general fuzzy relations ⋮ Fuzzy neighborhood operators and derived fuzzy coverings ⋮ Monotonic uncertainty measures for attribute reduction in probabilistic rough set model ⋮ Conditional entropy for incomplete decision systems and its application in data mining ⋮ Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Theory and applications of granular labelled partitions in multi-scale decision tables
- A comparison of two kinds of definitions of rough approximations based on a similarity relation
- The superiority of three-way decisions in probabilistic rough set models
- Rudiments of rough sets
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Exploring the boundary region of tolerance rough sets for feature selection
- Uncertainty measures of rough set prediction
- Rough set approach to knowledge-based decision support
- Approaches to knowledge reduction based on variable precision rough set model.
- Relational interpretations of neighborhood operators and rough set approximation operators
- Rough set approach to incomplete information systems
- Rules in incomplete information systems
- Rough sets. Mathematical foundations
- Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
- A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets
- Rough 3-valued algebras
- Information granulation and rough set approximation
- A new method for measuring uncertainty and fuzziness in rough set theory
- Information Entropy and Granulation Co–Entropy of Partitions and Coverings: A Summary
- Information entropy, rough entropy and knowledge granulation in incomplete information systems
- Rough set methods in feature selection and recognition
- ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS
- MEASURING UNCERTAINTY IN ROUGH SET THEORY
- Rough Sets and Current Trends in Computing
- An uncertainty measure in partition-based fuzzy rough sets
- Combination Entropy and Combination Granulation in Incomplete Information System
- A NEW METHOD FOR MEASURING THE UNCERTAINTY IN INCOMPLETE INFORMATION SYSTEMS
- Local and Global Approximations for Incomplete Data
This page was built for publication: Approximations and uncertainty measures in incomplete information systems