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Some observations on Nörlund ℐ2-statistical convergence of double sequences in intuitionistic fuzzy normed spaces

Asian-European Journal of Mathematics, 2023
The aim of this paper is to investigate the intuitionistic Nörlund [Formula: see text]-statistically convergent sequence space. We present some intuitionistic fuzzy normed spaces (IFNS) in Nörlund convergent spaces. Moreover, we also put forward several topological and algebraic properties of these convergent sequence spaces.
Kişi, Ömer   +2 more
openaire   +3 more sources

Attribute reduction based on observational consistency in intuitionistic fuzzy multi-covering decision systems

Journal of Intelligent & Fuzzy Systems, 2022
Attribute reduction is an important issue in data mining, machine learning and other applications of big data processing. Covering-based rough set and intuitionistic fuzzy (IF) set models are both the effective theoretical tools of uncertainty or imprecise computation, and thus IF covering rough set model has been acknowledged as a positive approach to
Lin, Rongde   +4 more
openaire   +1 more source

Convergence of Intuitionistic Fuzzy Observables

2020
In the paper the space of observables with respect to a family of intuitionistic fuzzy events is considered. Two important theorems are proved: the Central limit theorem and the Strong law of large numbers. They are a basis for statistical applications. As a consequence the corresponding results for fuzzy events are obtained.
Katarína Čunderlíková   +1 more
openaire   +1 more source

Individual ergodic theorem for intuitionistic fuzzy observables using intuitionistic fuzzy state

2020
The classical ergodic theory hasbeen built on σ-algebras. Later the Individual ergodictheorem was studied on more general structures like MV-algebrasand quantum structures. The aim of this paper is to formulate theIndividual ergodic theorem for intuitionistic fuzzy observablesusing  m-almost everywhere convergence, where  m is anintuitionistic fuzzy ...
openaire   +1 more source

Intuitionistic Fuzzy Observations in Local Optimal Hierarchical Classifier

2009
The paper deals with the multistage recognition task. In this problem of recognition the Bayesian statistic is applied. This model of classification is based on the notion of intuitionistic fuzzy sets. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically independent,
openaire   +1 more source

Probability Error in Bayes Optimal Classifier with Intuitionistic Fuzzy Observations

2009
The paper considers the problem of classification error in pattern recognition. This model of classification is primarily based on the Bayes rule and secondarily on the notion of intuitionistic fuzzy sets. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically ...
openaire   +1 more source

Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations

2009
The paper considers the problem of classification error in pattern recognition. This model of classification is primarily based on the Bayes rule and secondarily on the notion of intuitionistic fuzzy sets. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically ...
openaire   +1 more source

Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

International Journal of Information Management, 2021
Ilias O Pappas, Arch G Woodside
exaly  

Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview

Technological Forecasting and Social Change, 2022
Satish Kumar   +2 more
exaly  

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