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Reflects downloads up to 10 Nov 2024Bibliometrics
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editorial
Rough sets
research-article
Optimal scale selection based on multi-scale single-valued neutrosophic decision-theoretic rough set with cost-sensitivity
Abstract

The selection of optimal scale has always been the essential problem of multi-scale system. However, most of the current studies only consider the consistency of the system, and ignore the cost information. Therefore, based on the ...

Fuzzy systems
research-article
Fuzzy simulations and bisimulations between fuzzy automata
Abstract

Simulations and bisimulations between two fuzzy automata over a complete residuated lattice were defined by Ćirić et al. (2012) [7,8] as fuzzy relations between the sets of states of the automata. However, they act as a crisp ...

Special Issue on Recent advances and trends in concept lattices and their applications. Edited by: Pablo Cordero & Ondrej Krídlo
research-article
Lexicon-based sentiment analysis in texts using Formal Concept Analysis
Abstract

In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach allows for the ...

Special Issue on Combined Approaches of Computational Intelligence and Mathematics. Edited by: María Eugenia Cornejo, László T. Kóczy & Jesus Medina
research-article
Powerset operators induced by fuzzy relations as a basis for fuzzification of various mathematical structures
Abstract

We propose a unified approach to the theory of forward and backward powerset operators induced by fuzzy relations with special attention to the algebraic and topological properties of these operators. On the basis of this theory, we ...

Special Issue on Extended papers from the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021). Edited by: Jirina Vejnarova, Jiří Vomlel & Nic Wilson
research-article
Explaining black-box classifiers: Properties and functions
Abstract

Explaining black-box classification models is a hot topic in AI, with the overall goal of improving trust in decisions made by such models. Several works have been done and diverse functions have been proposed. However, their formal ...

research-article
On manipulation in merging epistemic states
Abstract

In this work we study the problem of manipulation in the framework of merging complex epistemic states. We adopt the techniques concerning representation and impossibility in merging complex epistemic states proposed by Mata Díaz and ...

Special Issue on Uncertainty and three-way decision in data science. Edited by: JingTao Yao, Chris Cornelis & Guoyin Wang
research-article
Three-way approximation of decision granules based on the rough set approach
Abstract

We discuss the three-way rough set based approach for approximation of decision granules in Intelligent Systems (IS's). The novelty of the approach is in presenting a new concept of approximation space which is based on advanced ...

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