Synthetic damage effect assessment through evidential reasoning approach and neural fuzzy inference: Application in ship target

Yao, Tianle; Miao, Run; Li, Zhirong; Dong, Jun; Gu, Yanfeng; Yan, Xiaolang

doi:10.1016/j.cja.2021.08.010

Cited by 13 publications

(5 citation statements)

References 16 publications

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“…If ships order contains the ships of same type, in that case we can consider all of them as targets in core group and taken as equal to . The probability of capture by a cruise missile at the target is indicated in the firing rules of the antiship defense complex in accordance with the conditions of the situation with a level of detail that allows a decision to be made regarding the aiming point of individual or all salvo missiles [22,23]. Such conditions are lining up the order of enemy ships, the direction of the strike, the presence of false targets alongside the real ones, the location of the object of the strike near the coast (which can lead to the capture by the missile of the objects on the coast), etc.…”

Section: Model and Methodsmentioning

confidence: 99%

Simulation Model of a Missile Strike

Toshev,

Maksymov,

Kiriakidi

2024

ELTECS

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Abstract. As modern naval warfare systems and tactics continue to evolve, it is crucial to employ contemporary tools capable of assessing their potential across various combat scenarios. This study model simulates interactions between anti-ship missiles and naval forces during landing operations. Our research seeks to develop a robust method for quantitatively analyzing the impact of anti-ship missiles on naval vessels under diverse combat conditions. The model's scalability allows for the incorporation of emerging naval tactics and procedures, maintaining its relevance and utility in dynamic strategic environments. It supports enhancements in precision through statistical analysis and ongoing assessments of new weaponry and technological advancements. By simulating a broad range of missile types, naval strategies, warship classes, aircraft, reconnaissance systems, and electronic warfare capabilities, the model provides insights into the strategic utility of anti-ship missiles. Our findings aim to optimize the allocation of military resources by accurately determining the necessary missile quantities to thwart enemy naval landings, thereby enhancing the effectiveness and efficiency of defensive operations. Keywords: Anti-ship missiles, missile guidance, naval landing, simulation framework, missile damage estimation.

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Section: Model and Methodsmentioning

confidence: 99%

Simulation Model of a Missile Strike

Toshev,

Maksymov,

Kiriakidi

2024

ELTECS

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“…-Reasoning (Inference Machine) (YAO et al, 2022), The reasoning engine is the implication process in reasoning the input value in order to determine the output value as a form of decision making. One reasoning model that is widely used is maxmin reasoning.…”

Section: Fig 2 Block Fuzzy Logic Methodsmentioning

confidence: 99%

Design and Development of Coffee Machine Control System Using Fuzzy Logic

Hadianto

Amanda

Hindarto

et al. 2023

SinkrOn

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The food and beverage industry is currently rife in urban and outside cities. Many locations are used as places to sell drinks, especially coffee which is a native plant of Indonesia. Nowadays, coffee compounding requires good technology. There are many coffee processing machines on the market. The coffee machine is capable of making expresso coffee, latte coffee and others. This coffee machine also combines coffee ingredients, sugar and milk as a carrier for a delicious aroma. In addition, the water pressure from the coffee machine heating boiler, the strong pressure of the coffee machine piston also affects the results of making a cup of coffee, the stronger the pressure, the thicker the coffee produced and the slower the flow of water in the coffee machine. glass of water because basically the stronger the pressure applied to it. the coffee grounds, the tighter and tighter the gaps that the water itself will pass, as well as the thickness of the resulting coffee water will be more concentrated. With Fuzzy Inference, it is possible to determine the optimal pressure to be exerted by the coffee machine piston based on the weight of the coffee grounds (grams) on the coffee machine piston and the specifications of the type of coffee machine used. Determining the optimal pressure on the coffee grounds will affect the taste of the coffee water produced and the speed of making a cup of coffee. This study uses the optimal pressure on the piston using the fuzzy inference method. The purpose of this research is to create a simulation for evaluating the performance of a coffee machine using fuzzy logic to solve the problem of damage to the piston. The fuzzy approach in this research uses the fuzzy Takagi Sugeno Kang method.

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“…is the maximum ordinate of the intersection of evaluation level H n and H n+t , and k is the normalization coefficient. [41] After L evaluation indexes are synthesized, the combination reliability β n and β n(n+t) of the evaluation object can be obtained as is the reliability sub factor. Fuzzy intersection reliability allocation is shown in Figure 6.…”

Section: Fuzzy Evidential Reasoning Algorithmmentioning

confidence: 99%

Research on Risk Evaluation of Hydropower Engineering EPC Project Based on Improved Fuzzy Evidence Reasoning Model

Li,

Guo,

Wang

et al. 2023

Systems

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As clean renewable energy with strong advantages, hydropower plays an extremely important role in promoting green development and energy allocation patterns. Hydropower project construction is characterized by long duration, large scale, high cost, many participants, and complex construction conditions, and is closely related to the economy, society, and ecological environment, and its construction management mode and construction risk management have become the focus of extensive attention from all walks of life. In this paper, the risk evaluation index system of hydropower engineering EPC project is constructed, and the linear weighted combination method is introduced to determine the comprehensive weights based on the calculation of weights by sequential relationship method and entropy weight method, and the improved fuzzy normal distribution is introduced as the subordinate function distribution of fuzzy evaluation level based on DS evidence theory and fuzzy theory. The risk evaluation model of a hydropower engineering EPC project is also established. Meanwhile, the model was analyzed with hydropower project examples to verify the accuracy and practicality of the model, which can guide hydropower project stakeholders to manage hydropower project risks comprehensively, collaboratively, and efficiently, and provide decision support for hydropower project construction risk management.

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Synthetic damage effect assessment through evidential reasoning approach and neural fuzzy inference: Application in ship target

Cited by 13 publications

References 16 publications

Simulation Model of a Missile Strike

Simulation Model of a Missile Strike

Design and Development of Coffee Machine Control System Using Fuzzy Logic

Research on Risk Evaluation of Hydropower Engineering EPC Project Based on Improved Fuzzy Evidence Reasoning Model

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