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A new approach to solving uncertain linear systems [PDF]
Uncertain linear systems are defined and these linear systems using Log-normal and Zigzag variables based on theirin-verse distributions are investigated.
Behrouz Fathi Vajargah +2 more
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As with probability theory, uncertainty theory has been developed, in recent years, to portray indeterminacy phenomena in various application scenarios.
Chengqiang Wang +3 more
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Some models for inverse minimum spanning tree problem with uncertain edge weights [PDF]
The inverse minimum spanning tree (IMST) problem is an inverse optimization problem in which one makes the least modification to the edge weights of a predetermined spanning tree, to make it the minimum spanning tree with respect to new edge weights ...
Sagarika Biswal, Ganesh Ghorai
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The aerospace electromagnetic relay (AEMR) is a key electronic component in aerospace and weaponry systems. It usually lacks sufficient test data to conduct an effective storage reliability assessment at its early development stage.
Qingshen Li +4 more
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Uncertain Measure and its Application in Minimum Weighted Maximal Matching Problem [PDF]
The inherent feature of real-world data is uncertainty. If data is generated in valid experiments or standard collections, probability theory or fuzzy theory is a powerful tool for analyzing them.
Mehdi Djahangiri
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Hazardous material transport accidents are events with a low probability and high consequence risk. With an increase in the proportion of hazardous materials transported on domestic roads, an increasing number of scholars have begun to study this field ...
Zhanzhong Wang, Yan Wang, Yuling Jiao
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Reliability analysis and trade-offs between safety and cost with insufficient data represent an inevitable problem during the early stage of structural design. In this paper, efficient uncertainty theory-based reliability analysis and a design method are
Shuang Zhou +4 more
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A New Track Association Model Based on Uncertainty Distribution
Aiming at the problem of degradation of correlation quality caused by excessive idealization of noise in the traditional track correlation model, this paper introduces the uncertainty theory in the track correlation process, and uses the uncertainty ...
Qiu Jianjie, Cai Yichao, Li Hao, Han Yu
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Finding the weighted stable set of a graph with uncertain weights [PDF]
The inherent characteristics of real-world data is uncertainty. If data is generated in valid experiments or collected standard, probability theory or fuzzy theory is a powerful tool for analysis it in the uncertainty conditions.
Mehdi Djahangiri
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Uncertain Data Envelopment Analysis for Cross Efficiency Evaluation with Imprecise Data
Self evaluation and peer evaluation in data envelopment analysis (DEA) are effective means to comprehensively reflect the efficiencies of decision-making units (DMUs).
Bao Jiang, Enxin Chi, Jian Li
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