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Published in 2021 at "International Journal of Energy Research"
DOI: 10.1002/er.6435
Abstract: The aim of this study is to define strategies to increase green nuclear energy investments. Within this context, a model is suggested that includes two different stages. Firstly, the consensus‐based fuzzy preferences are determined for…
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Keywords:
energy;
green nuclear;
energy investments;
spherical fuzzy ... See more keywords
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Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22062
Abstract: Spherical fuzzy sets (SFSs) are a new extension of Cuong's picture fuzzy sets (PFSs). In SFSs, membership degrees satisfy the condition 0≤P2(x)+I2(x)+N2(x)≤1 instead of 0≤P(x)+I(x)+N(x)≤1 as is in PFSs. In the present work, we extend…
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Keywords:
decision making;
spherical aggregation;
aggregation operators;
spherical fuzzy ... See more keywords
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Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22255
Abstract: In recent years, many versions of fuzzy sets are introduced in the literature. Spherical fuzzy sets (SFSs) concept is one of these latest developments. An SFS is a synthesis of Pythagorean fuzzy set (PFS) and…
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Keywords:
fuzzy extension;
hesitancy;
dematel dematel;
dematel ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22873
Abstract: Spherical fuzzy sets (SFSs) are strong models for modeling uncertain information in the computational intelligence and decision‐making analysis. The key features of SFSs include the sum of the squares of membership grades (positive, neutral, and…
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Keywords:
aggregation operators;
fuzzy fairly;
spherical fuzzy;
decision making ... See more keywords
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Published in 2021 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10055-7
Abstract: The Industrial Internet of Things is crucial for enterprise and country to drive the strategic upgrade and raise the level of national intelligent manufacturing. When pondering the IIoT industry evaluation, the corresponding dominating issues involve…
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Keywords:
iiot industry;
industry evaluation;
spherical fuzzy;
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Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-04107-y
Abstract: The notion of T-spherical fuzzy set is the most recent generalization of intuitionistic fuzzy set available in the literature having the capability to handle the uncertainty, fuzziness and vagueness found in human sense in terms…
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Keywords:
fuzzy;
graphs operations;
fuzzy set;
fuzzy graphs ... See more keywords
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Published in 2022 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-022-01776-8
Abstract: In this article, we have introduced a new linguistic generalized spherical fuzzy set by combining the idea of generalized spherical fuzzy set and linguistic fuzzy set. Linguistic generalized spherical fuzzy set is described by linguistic…
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Keywords:
linguistic generalized;
generalized spherical;
fuzzy set;
fuzzy ... See more keywords
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Published in 2025 at "Journal of Natural Fibers"
DOI: 10.1080/15440478.2025.2519667
Abstract: ABSTRACT To improve the classification of high-value fibers such as cashmere and wool, which exhibit highly similar structural characteristics, this study proposes a novel multi-attribute group decision-making (MAGDM) framework based on complex spherical fuzzy sets.…
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Keywords:
spectroscopy;
method;
cashmere wool;
complex spherical ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3129807
Abstract: The current study presents a novel multi-criteria decision making (MCDM) approach to address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully unknown. To serve the purpose, we design some generalized operational…
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Keywords:
aggregation operators;
decision making;
spherical fuzzy;
fuzzy ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3414845
Abstract: This study introduces a novel neural network approach integrating q-spherical fuzzy rough Frank aggregation operators, aiming to enhance AI systems’ resilience to uncertain and imprecise data in military transport systems. Three new operators are developed:…
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Keywords:
rough frank;
fuzzy rough;
transport systems;
military transport ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3423387
Abstract: The combination of q-spherical fuzzy sets and rough sets has emerged as a useful paradigm for fuzzy mathematics and decision-making. The hybrid structure of q-spherical fuzzy sets and rough sets has shown to be useful…
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Keywords:
decision making;
fuzzy rough;
mathematics;
rough einstein ... See more keywords