A new model for threat assessment in data fusion based on fuzzy evidence theory

Azimirad, Ehsan; Haddadnia, Javad

doi:10.26555/ijain.v2i2.56

Cited by 5 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper [5] uses fuzzy set theory to describe the threat process accurately, and introduces 11 threat assessment attribute parameters for the first time, and demonstrates the accuracy of the assessment method by constructing several dynamic simulation scenarios. In paper [6] , D-S evidence theory is added on the basis of dynamic fuzzy set to fix the vulnerability of data uncertainty and poor system reliability. The paper [7] establishes a framework for automatic identification of air targets, using Bayesian networks to detect and classify enemy targets, and assess the threat level.…”

Section: Research Statusmentioning

confidence: 99%

UAVs threat assessment based on GA-FWNN in anti-UAV operations

Lu,

Gao,

Zhang

et al. 2023

Third International Conference on Control and Intelligent Robotics (ICCIR 2023)

View full text Add to dashboard Cite

Section: Research Statusmentioning

confidence: 99%

UAVs threat assessment based on GA-FWNN in anti-UAV operations

Lu,

Gao,

Zhang

et al. 2023

Third International Conference on Control and Intelligent Robotics (ICCIR 2023)

View full text Add to dashboard Cite

“…Therefore, by incorporating multi-level data and integrating information from various sources, the accuracy and robustness of carbon accounting can be enhanced in different environmental contexts Data fusion refers to the fundamental theory of integrating multiple sources of information [15]. It involves the automatic processing of information at multiple levels, coordinating and combining various sources of information for detection, correlation, estimation, and integration of multilevel, multi-faceted [16][17][18], and multi-layer information. The goal is to derive an estimate of the target state and characteristics, as well as situational and trend evaluations.…”

Section: Introductionmentioning

confidence: 99%

Carbon Accounting Method based on Power System Energy Carbon Footprint Characteristics and Multi-Source Data Fusion

Ge,

Mo,

Liu

2023

IJE

View full text Add to dashboard Cite

This paper presents a novel approach to carbon accounting by utilizing the energy use carbon footprint characteristics and data fusion of the electric power system. The method involves analyzing the energy use carbon footprint characteristics of various electric power systems and employing big data analysis and artificial intelligence techniques to accurately evaluate carbon emission sources. The paper outlines the measurement content, model design principles, and model selection strategy, taking into account factors such as carbon data from different sources and the strengths and weaknesses of existing carbon accounting methods. By identifying the factors that influence the carbon footprint of the electric power system under dual carbon targets, a carbon accounting method based on data fusion and the energy use carbon footprint characteristics of the electric power system is proposed. The paper also develops a carbon emission warning model for the electric power system, which can assist businesses and organizations in setting targeted reduction goals.

show abstract

“…The problem topicality is substantiated by the reviews [1] describing the current research and developments in the fi eld of expert systems. Nowadays, the expert systems are used by business [2], medicine [3], agriculture [4], education [5], defense industry [6] and by other engineering applications and by many other spheres.…”

mentioning

confidence: 99%

Non-relational approach to developing knowledge bases of expert system prototype

Hnatushenko¹,

Hnatushenko²,

Dorosh³

et al. 2022

Nauk. visn. nat. hirn. univ.

View full text Add to dashboard Cite

Purpose. Use of a non-relational database management system is proposed while developing a database of a prototype of expert system with using a semantic model of the knowledge. Methodology. The study compares traditional relational approach with the proposed non-relational one in terms of the formation of certain queries. The following indices are used to compare efficiency of two management systems for the databases: particular query set (in MySQL and Cypher languages); runtime for the specified record size (i.e. their processing speed); ease of understanding: and software support of the queries. Findings. It has been identified that the graph model is a more expedient solution in the process of designing semantic networks and their development where complex hierarchical relationships between objects have to be stored and processed. Architecture of the graph database has been applied in terms of the specific example. A prototype of an expert system has been developed to demonstrate the capabilities of the created system of logical inference. The classifier of sciences was chosen as an example in the subject area. Originality. A prototype of the expert system, using the proposed non-relational approach, has been designed involving modern service-oriented architecture (SOA). The abovementioned helped separate the database from the inference engine and the user interface, facilitate perception as well as update and code debugging. Service-oriented architecture makes the system more flexible and robust. Practical value. The developed software is meant to develop both simple expert systems and medium-complex ones.

show abstract

A new model for threat assessment in data fusion based on fuzzy evidence theory

Cited by 5 publications

References 13 publications

UAVs threat assessment based on GA-FWNN in anti-UAV operations

UAVs threat assessment based on GA-FWNN in anti-UAV operations

Carbon Accounting Method based on Power System Energy Carbon Footprint Characteristics and Multi-Source Data Fusion

Non-relational approach to developing knowledge bases of expert system prototype

Contact Info

Product

Resources

About