Granular Computing
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Decision-making approach based on Pythagorean Dombi fuzzy soft graphs
Granular Computing - Tập 6 - Trang 671-689 - 2020
A Pythagorean fuzzy set model is more useful than intuitionistic fuzzy set model to handle the imprecise information involving both membership and nonmembership degrees, and a soft set is an other parameterized point of view for handling the vagueness. A Pythagorean fuzzy soft graph is considered more capable than intuitionistic fuzzy soft graph for representing the parametric relationships betwee......
Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method
Granular Computing - Tập 7 - Trang 861-879 - 2021
In this paper, we propose hesitant fuzzy sets-based hybrid time series forecasting method using particle swarm optimization and support vector machine. Length of unequal intervals, weights of intervals and process of defuzzification are major factors that affect the forecasting accuracy of hesitant fuzzy sets-based time series models. The proposed hybrid fuzzy time series forecasting method uses h......
A pythagorean fuzzy algorithm embedded with a new correlation measure and its application in diagnostic processes
Granular Computing - - 2021
Algebraic approaches to granular computing
Granular Computing - Tập 6 - Trang 119-131 - 2019
We study the granular structures in granular computing from algebraic views. We model a granular structure based on an algebra that consists of a universe and a closure operator. Based on this formulation, we define the basic granules in a granular structure through the notion of subalgebras. Using formal concept analysis and rough set analysis as two examples, we demonstrate that the proposed for......
A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets
Granular Computing - Tập 4 - Trang 699-713 - 2019
Recently, the probabilistic fuzzy set has been applied by the researchers in various domains to model the uncertainties in the system due to both fuzziness and randomness. In this research paper, we propose a novel high-order probabilistic fuzzy set-based forecasting method in the environment of both non-probabilistic and probabilistic uncertainties. We have also proposed a novel probability-based......
GIFIHIA operator and its application to the selection of cold chain logistics enterprises
Granular Computing - - 2017
In this paper, we present some induced hybrid interaction averaging operators under intuitionistic fuzzy environments, including the induced hybrid interaction averaging operator and the generalized induced hybrid interaction averaging operator under intuitionistic fuzzy environments. The properties of these operators are investigated. The main advantages of these operators are that, (1) the inter......
An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making
Granular Computing - Tập 8 - Trang 1481-1503 - 2023
The major objective of the current investigation is to build an integrated multiple criteria group decision-making (MCGDM) methodology based on combined compromise solution (CoCoSo) and spherical fuzzy set for determining the optimal solar power station. To begin with, an innovative spherical fuzzy score function is brought forward to strengthen the efficiency of the comparison for spherical fuzzy......
An analytical study of Pythagorean fuzzy fractional wave equation using multivariate Pythagorean fuzzy fourier transform under generalized Hukuhara Caputo fractional differentiability
Granular Computing - Tập 9 - Trang 1-29 - 2024
Pythagorean fuzzy fractional calculus provides a strong framework for modeling and analyzing complicated systems with uncertainty and indeterminacy. The primary focus of this article is to investigate the analytical solution of the Pythagorean fuzzy fractional wave equation using multivariate Pythagorean fuzzy Fourier transform under generalized Hukuhara Caputo fractional differentiability. To thi......
Picture fuzzy soft $$\sigma$$ -algebra and picture fuzzy soft measure and their applications to multi-criteria decision-making
Granular Computing - Tập 8 - Trang 397-410 - 2022
The concept of picture fuzzy soft sets (PFSSs) has been introduced as an efficacious extension of intuitionistic fuzzy soft sets to model uncertain information, especially when dealing with the responses “Yes”, “No”, and “Abstain”. Recently, Memiş [Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making. J New Theory 38(2022):1–13, 2022] has redefined the PFS......
Interval-valued q-rung orthopair fuzzy interactive Dubois–Prade operator and its application in group decision-making
Granular Computing - Tập 8 - Trang 1799-1818 - 2023
The Dubois–Prade operator can transform its parameter into different values when processing data, which can make it more flexible. Interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs) give decision-makers more degrees of freedom. Combining the flexibility of the Dubois–Prade operators and the degrees of freedom of IVq-ROFSs, this paper proposes the interval-valued q-rung orthopair fuzzy Dubois–......
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