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Multi-attribute data classification using Neutrosophic probability

2015 Annual IEEE India Conference (INDICON), 2015
Fuzzy classification is very necessary because it has the ability to use interpretable rules. It has got control over the limitations of crisp rule based classification. This paper mainly deals with classification using fuzzy probability and Neutrosophic probability.
Kanika Bhutani   +2 more
openaire   +1 more source

Using the Inverse Transformation Method to Generate Random Variables that follow the Neutrosophic Uniform Probability Distribution

Journal of Neutrosophic and Fuzzy Systems, 2023
When conducting the simulation process for any of the systems according to classical logic, we start by generating random numbers belonging to the regular probability distribution on the field [0, 1] using one of the known methods, and then we convert these random numbers into random variables that follow the probability distribution that the ...
Maissam Jdid, A. Salama
openaire   +1 more source

Generalized Shapley probability neutrosophic hesitant fuzzy Choquet aggregation operators and their applications

Journal of Intelligent & Fuzzy Systems, 2019
 The probabilistic neutrosophic hesitant fuzzy numbers are considered to be effective tools for dealing with such decision problems when both subjective and objective uncertainties exist simultaneously. However, the existing methods for dealing with real-life decision-making in the context is based on the assumption that the relationships between all ...
Shao, Songtao, Zhang, Xiaohong
openaire   +1 more source

Fuzzy stochastic multi-criteria decision-making methods with interval neutrosophic probability based on regret theory

Journal of Intelligent & Fuzzy Systems, 2018
Stock evaluation is a significant decision-making activity for investors. Due to the complexity of stock exchange market, evaluation information may be fuzzy and stochastic in the meantime. Therefore, it is essential to conduct the research on fuzzy stochastic multi-criteria decision-making (FSMCDM) methods.
Wang, Yi, Wang, Jian-Qiang, Wang, Tie-Li
openaire   +1 more source

A Proposed Neutrosophic Probability Model for Normalized DifferenceVegetation Index Using Remote Sensing

In this research work, a new neutrosophic probability model named a neutrosophic Topp-Leone exponentiated generalized exponential distribution is proposed to model the normalized difference vegetation index (NDVI) of Pakistan in the year 2022. The MODIS was used in this research, which gave spatial and spectral information on NDVI in the Earth.
Shan E. Fatima, Hina Khan, Kanwal Javaid
openaire   +1 more source

PROBABILITY MULTIVALUED LINGUISTIC NEUTROSOPHIC SETS FOR MULTI-CRITERIA GROUP DECISION-MAKING

International Journal for Uncertainty Quantification, 2017
Nunu Wang, Hongyu Zhang
openaire   +1 more source

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