Intrinsic approaches to prioritizing diagnoses in multi-context systems

Mu, Kedian

doi:10.1016/j.artint.2020.103383

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Multicontext systems usually diagnose the ranking system even if it does not require other knowledge. The author has explained the exchange of direct exchange under different perspectives [ 12 ]. Delegation is a set of authorized processes that vary under a constant device from one user to another.…”

Section: Literature Reviewmentioning

confidence: 99%

Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence

Duraivelu

Mishra

Premalatha³

et al. 2022

Computational Intelligence and Neuroscience

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Green finance can be referred to as financial investments made on sustainable projects and policies that focus on a sustainable economy. The procedures include promoting renewable energy sources, energy efficiency, water sanitation, industrial pollution control, transportation pollution control, reduction of deforestation, and carbon emissions, etc. Mainly, these green finance initiatives are carried out by private and public agents like business organizations, banks, international organizations, government organizations, etc. Green finance provides a financial solution to create a positive impact on society and leads to environmental development. In the age of artificial intelligence, all industries adopt AI technologies. In this research, we see the applications of the intelligent model to examine the green finance for ecological advancement with regard to artificial intelligence. Feasible transportation and energy proficiency and power transmission are two significant fields to be advanced and focused on minimizing the carbon impression in these industries. Renewable sources like solar energies for power generation and electric vehicles are to be researched and developed. This R&D requires a considerable fund supply, thus comes the green finance. Globally, green finance plays a vital role in creating a sustainable environment. In this research, for performing the green finance analysis, financial maximally filtered graph (FMFG) algorithm is implemented in different domains. The proposed algorithm is compared with the neural model and observed that the proposed model has obtained 98.85% of accuracy which is higher than the neural model.

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Section: Literature Reviewmentioning

confidence: 99%

Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence

Duraivelu

Mishra

Premalatha³

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

Nexus of financial management, blockchain, and natural resources: Comparing the impact on environmental sustainability and resource productivity

Zhenjing

Albasher

et al. 2023

Resources Policy

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Fuzzy Multicontext Systems

Yang

Yi-song

et al. 2023

IEEE Trans. Fuzzy Syst.

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Multi-context systems provide an effective representation and reasoning framework for integrating heterogeneous knowledge obtained from different sources and have been applied in different fields. Because many application fields in real life have to deal with uncertain and fuzzy knowledge, the present work aims to combine the multi-context system and fuzzy logic theory effectively and systematically to deal with the representation and reasoning of uncertainty in heterogeneous contexts. The current research in this area is still relatively limited, especially in terms of systematic integration. Specifically, the present work proposes a class of heterogeneous non-monotonic fuzzy multicontext systems based on non-monotonic multi-context systems, in which an abstract logic is proposed to capture different types of logic and is used as a theoretical basis for fuzzy multi-context knowledge representation and setting up bridging rules to integrate heterogeneous knowledge. Fuzzy equilibria are used to describe the semantics of fuzzy multi-context systems. The syntactic and semantic framework of heterogeneous nonmonotonic fuzzy multi-context systems is then systematically established. Finally, we show that the proposed fuzzy multicontext system not only extends the non-monotonic multi-context system to fuzzy settings, but also could expand the probabilistic multi-context system and the possibility multi-context system in the similar way.

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Intrinsic approaches to prioritizing diagnoses in multi-context systems

Cited by 3 publications

References 9 publications

Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence

Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence

Nexus of financial management, blockchain, and natural resources: Comparing the impact on environmental sustainability and resource productivity

Fuzzy Multicontext Systems

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