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Multi-Attribute and Multi-Point Cooperative Handover Strategy for LEO Satellite Communication Systems 认领 引用
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作者 Li Hongguang Liu Yaoqi +2 位作者 Shi Jinglin Zhou Yiqing Qian Manli 《China Communications》 SCIE EI CSCD 2026年第1期154-165,共12页
LEO satellite communication systems have the characteristics of high-speed and periodic movement.The handover of user link occurs frequently,which has a serious impact on user terminal application and system capacity.... LEO satellite communication systems have the characteristics of high-speed and periodic movement.The handover of user link occurs frequently,which has a serious impact on user terminal application and system capacity.To address this issue,we propose a handover strategy of LEO satellite user terminal based on multi-attribute and multi-point(MAMP)cooperation.Firstly,the satellite-user-time matrix is established by using the satellite constellation coverage and handover model.Then,combined with the visual time and signal quality,the user access matrix and satellite load matrix are extracted to determine the weight equation of the handover strategy with the channel reservation.According to the system modeling simulation,the algorithm improves the handover success rate by 2.5%,the lasted call access success rate by 3.2%,the load balancing degree by 20%,and the robustness by two orders of magnitude. 展开更多
关键词 handover LEO satellite load balancing multi-attribute
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Seismic prediction methods for continental distributary channel sands:OVT high-resolution processing,multi-attribute fusion and varible-scale inversion 认领 引用
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作者 XU Liheng LUO Qing +6 位作者 ZHAO Haibo SONG Wei LI Hongxing HUANG Yong GUO Yajie SUN Yanmin LIU Pengkun 《Petroleum Exploration and Development》 SCIE 2026年第1期110-124,共15页
To address the challenges of complex fluvial sandbody distribution and difficult remaining oil recovery in mature continental oilfields,this study focuses on key issues in reservoir identification such as ambiguous na... To address the challenges of complex fluvial sandbody distribution and difficult remaining oil recovery in mature continental oilfields,this study focuses on key issues in reservoir identification such as ambiguous narrow-channel boundaries and subdivision of multi-stage superimposed sandbodies.Taking the Upper Cretaceous continental sandstone in the Sazhong Oilfield of the Daqing Placanticline as an example,a technical system integrating OVT high-resolution processing,multi-attribute fusion,and varible-scale inversion was developed to establish a complete workflow from seismic processing to reservoir prediction and remaining oil recovery.The following results are obtained.First,the Offset Vector Tile(OVT)seismic processing technology is extended,for the first time,from fracture imaging to sandbody prediction,in order to address the weak seismic responses from boundaries of narrow and thin sandbodies.A geology-oriented OVT partitioning method is developed to significantly improve the imaging accuracy,enabling identification of channel sandbodies as narrow as 50 m.Second,an amplitude-coherence dual-attribute fusion method is proposed for predicting narrow channel boundaries between wells.Constrained by a sedimentary unit-level sequence chronostratigraphic framework,this method accurately delineates 800-2000 m long subaqueous distributary channels with bifurcation-convergence features.Third,considering the superimposition of multi-stage channels,a three-level variable-scale stratigraphic model(sandstone groups,sublayers,sedimentary units)is constructed to overcome single-scale modeling limitations,successfully characterizing key sedimentary features like meandering river“cut-offs”through 3D seismic inversion.Based on these advances,a direct link between seismic prediction and remaining oil recovery is established.The horizontal wells deployed using narrow-channel predictions encountered oil-bearing sandstones in the horizontal section by 97%,and achieved initial daily production of 12.5 t per well.Precise identification of individual channel boundaries within 17 composite sandbodies guided recovery processes in 135 wells,yielding an average daily increase of 2.8 t per well and a cumulative increase of 13.6×104t. 展开更多
关键词 OVT high resolution processing multi-attribute fusion varible-scale inversion reservoir prediction remaining oil Cretaceous Sazhong Oilfield Songliao Basin
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A Synergistic Multi-Attribute Decision-Making Method for Educational Institutions Evaluation Using Similarity Measures of Possibility Pythagorean Fuzzy Hypersoft Sets 认领 引用 被引量：1
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作者 Khuram Ali Khan Saba Mubeen Ishfaq +1 位作者 Atiqe Ur Rahman Salwa El-Morsy 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第1期501-530,共30页
Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be difficult.The concept of a possibility Pythagorean fuzzy hypersoft set(pP... Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be difficult.The concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such uncertainties.This study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and AND-operations.Some results related to these operations are also modified for pPyFHSS.Additionally,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and results.Lastly,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested system.The algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical models.Similarly,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison. 展开更多
关键词 Hypersoft set Pythagorean fuzzy hypersoft set computational complexity multi-attribute decision-making optimization similarity measures uncertainty
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Medical Diagnosis Based on Multi-Attribute Group Decision-Making Using Extension Fuzzy Sets,Aggregation Operators and Basic Uncertainty Information Granule 认领 引用 被引量：1
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作者 Anastasios Dounis Ioannis Palaiothodoros Anna Panagiotou 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第1期759-811,共53页
Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective to... Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data. 展开更多
关键词 Medical diagnosis multi-attribute group decision-making(MAGDM) q-ROFS IVq-ROFS BUI aggregation operators similarity measures inverse score function
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Phonon bottleneck effect due to finite shrinking gap revealed by high-pressure ultrafast dynamics 认领 引用
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作者 Yanling Wu Q.Wu +9 位作者 X.Yin Y.X.Huang Takeshi Nakagawa Z.Y.Tian Fei Sun Q.M.Zhang Jun Chang Ho-kwang Mao Yang Ding Jimin Zhao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期137-142,共6页
High-pressure ultrafast dynamics has been recently developed,enabling the exploration of non-equilibrium properties of various quantum materials under high pressure.Particularly,by investigating the pressure dependenc... High-pressure ultrafast dynamics has been recently developed,enabling the exploration of non-equilibrium properties of various quantum materials under high pressure.Particularly,by investigating the pressure dependence of time-resolved ultrafast dynamics,we have discovered a pressure-induced phonon bottleneck effect(PBE).To date,all reported PBEs are due to fully closed gaps,which was reflected in the simultaneous characteristic changes in both amplitude and lifetime of the phonon-phonon scattering slow relaxation component.However,as reflected through its connection to Euler disk,incompletely closed gaps can also induce PBEs.In this work,we report the first PBE due to a finite shrinking gap.As is known,it is challenging to directly observe high-pressure-induced variations in electronic band gaps due to the diamond anvil cell.Here,by investigating Sr2IrO4in our previous work,we obtain an empirical formula for the pressure-induced energy gap variation at room temperature.Our quantitative analysis shows that the gap is finite shrinking rather than fully closed. 展开更多
关键词 phonon bottleneck effect ultrafast dynamics high pressure ultrafast spectroscopy finite gap
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Subgraph Matching on Multi-Attributed Graphs Based on Contrastive Learning 认领 引用
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作者 LIU Bozhi FANG Xiu +1 位作者 SUN Guohao LU Jinhu 《Journal of Donghua University(English Edition)》 CAS 2025年第5期523-533,共11页
Graphs have been widely used in fields ranging from chemical informatics to social network analysis.Graph-related problems become increasingly significant,with subgraph matching standing out as one of the most challen... Graphs have been widely used in fields ranging from chemical informatics to social network analysis.Graph-related problems become increasingly significant,with subgraph matching standing out as one of the most challenging tasks.The goal of subgraph matching is to find all subgraphs in the data graph that are isomorphic to the query graph.Traditional methods mostly rely on search strategies with high computational complexity and are hard to apply to large-scale real datasets.With the advent of graph neural networks(GNNs),researchers have turned to GNNs to address subgraph matching problems.However,the multi-attributed features on nodes and edges are overlooked during the learning of graphs,which causes inaccurate results in real-world scenarios.To tackle this problem,we propose a novel model called subgraph matching on multi-attributed graph network(SGMAN).SGMAN first utilizes improved line graphs to capture node and edge features.Then,SGMAN integrates GNN and contrastive learning(CL)to derive graph representation embeddings and calculate the matching matrix to represent the matching results.We conduct experiments on public datasets,and the results affirm the superior performance of our model. 展开更多
关键词 subgraph matching graph neural network(GNN) multi-attributed graph contrastive learning(CL)
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Interpretable Smart Contract Vulnerability Detection with LLM-Augmented Hilbert-Schmidt Information Bottleneck 认领 引用
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作者 Yiming Yu Yunfei Guo +2 位作者 Junchen Liu Yiping Sun Junliang Du 《Computers, Materials & Continua》 SCIE EI 2026年第5期664-684,共21页
Graph neural networks(GNNs)have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control-and data-flow graphs.Despite their... Graph neural networks(GNNs)have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control-and data-flow graphs.Despite their effectiveness,most GNN-based vulnerability detectors operate as black boxes,making their decisions difficult to interpret and thus less suitable for critical security auditing.The information bottleneck(IB)principle provides a theoretical framework for isolating task-relevant graph components.However,existing IB-based implementations often encounter unstable optimization and limited understanding of code semantics.To address these issues,we introduce ContractGIB,an interpretable graph information bottleneck framework for function-level vulnerability analysis.ContractGIB introduces three main advances.First,ContractGIB introduces an Hilbert–Schmidt Independence Criterion(HSIC)based estimator that provides stable dependence measurement.Second,it incorporates a CodeBERT semantic module to improve node representations.Third,it initializes all nodes with pretrained CodeBERT embeddings,removing the need for hand-crafted features.For each contract function,ContractGIB identifies themost informative nodes forming an instance-specific explanatory subgraph that supports the model’s prediction.Comprehensive experiments on public smart contract datasets,including ESC andVSC,demonstrate thatContractGIB achieves superior performance compared to competitive GNN baselines,while offering clearer,instance-level interpretability. 展开更多
关键词 Smart contract vulnerability detection graph neural networks information bottleneck Hilbert-Schmidt Independence Criterion(HSIC)
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Cultural Landscape Zoning of Traditional Villages in Southwest Hubei Based on Multi-attribute Weighted k-modes Clustering 认领 引用
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作者 Yiran GUO Wei XU Jie XU 《Meteorological and Environmental Research》 2025年第3期33-39,43,共7页
Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development.Through the clustering algorithm,cultural area zoning research of traditiona... Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development.Through the clustering algorithm,cultural area zoning research of traditional villages can provide objective basis for its overall protection and development.Based on the field research,drawing on the theory of cultural landscape,southwest Hubei is taken as the research object,and the index system of cultural landscape type division of traditional villages is constructed from three levels of culture,geography and village carrier.Adopting the multi-attribute weighted k-modes clustering algorithm,92 traditional villages in southwest Hubei are divided into three major types,which are the western Tujia cultural characteristic area,the southern Tujia-Miao cultural penetration area,and the northern multi-ethnic cultural mixed area,and the characteristics of each area are summarized.The regional characteristics of traditional villages in southwest Hubei at the cultural landscape level are analysed from a macro point of view,which provides a reference for more objective cognition of the distribution law of traditional villages in southwest Hubei,and carrying out the contiguous protection of traditional villages. 展开更多
关键词 Multi-attribute weighted k-modes clustering Cultural landscape Southwest Hubei Traditional village
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Natural gas hydrate resource development:Prospects,technical bottlenecks,and research pathways 认领 引用
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作者 Neng‑you Wu Yan‑long Li Zi‑guo Hao 《China Geology》 CAS CSCD 2026年第3期443-444,共2页
Natural gas hydrate is a special gas-bearing solid substance in the shallow layers of the Earth,primarily occurring in sediments along deep-water continental margins and in terrestrial permafrost regions.It is conside... Natural gas hydrate is a special gas-bearing solid substance in the shallow layers of the Earth,primarily occurring in sediments along deep-water continental margins and in terrestrial permafrost regions.It is considered not only a conventional natural gas resource with significant potential but also closely linked to submarine methane cycling,sediment stability,marine geohazards,and global climate change.Owing to its combined resource,environmental,and engineering attributes,research on natural gas hydrate has gradually moved beyond the scope of energy development alone,emerging as an important interdisciplinary field connecting Earth sciences,energy engineering,marine technology,and carbon-neutrality strategies. 展开更多
关键词 natural gas research pathways shallow layers prospects resource development natural gas hydrate technical bottlenecks deep water continental margins
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Application Research of Concept Bottleneck Model in Passport Printing Method Detection 认领 引用
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作者 Tianrui Qiu Jiafeng Xu 《Journal of Electronic Research and Application》 2026年第1期272-277,共6页
With the increase in cross-border mobility,passports,as critical identity documents,require robust anti-counterfeiting security.While existing deep learning-based automatic detection methods achieve high accuracy,they... With the increase in cross-border mobility,passports,as critical identity documents,require robust anti-counterfeiting security.While existing deep learning-based automatic detection methods achieve high accuracy,they lack interpretability.This paper introduces the Concept Bottleneck Model(CBM)to construct a transparent passport printing method detection framework.By defining interpretable intermediate concepts and integrating linear reasoning,the model significantly enhances reliability and debugging efficiency.The article systematically analyzes the advantages,challenges,and future directions of this approach. 展开更多
关键词 Passport anti-counterfeiting Concept bottleneck model Explainable AI Printing method detection Human-machine collaboration
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Multi-attributed decision making for mining methods based on grey system and interval numbers 认领 引用 被引量：10
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作者 刘浪 陈建宏 +1 位作者 王革民 劳德正 《Journal of Central South University》 SCIE EI CAS 2013年第4期1029-1033,共5页
In the case of unknown weights, theories of multi-attributed decision making based on interval numbers and grey related analysis were used to optimize mining methods. As the representative of independence for the indi... In the case of unknown weights, theories of multi-attributed decision making based on interval numbers and grey related analysis were used to optimize mining methods. As the representative of independence for the indicator, the smaller the correlation of indicators is, the greater the weight is. Hence, the weights of interval numbers of indicators were determined by using correlation coefficient. Relative closeness based on positive and negative ideal methods was calculated by introducing distance between interval numbers, which made decision making more rational and comprehensive. A new method of ranking interval numbers based on normal distribution was proposed for the optimization of mining methods, whose basic properties were discussed. Finally, the feasibility and effectiveness of this method were verified by theories and practice. 展开更多
关键词 mining method interval number multi-attributed decision making grey related analysis correlation coefficient normaldistribution ranking
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Application of multi-attribute matching technology based on geological models for sedimentary facies:A case study of the 3rd member in the Lower Jurassic Badaowan Formation,Hongshanzui area,Junggar Basin,China 认领 引用 被引量：4
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作者 Zong-Quan Yao Fan Yang +6 位作者 Deleqiati Jianatayi Wei Wang Yang Gao Le Sun Wen-Feng Wang Bo-Yu Mu Pin-Bai Pan 《Petroleum Science》 SCIE CAS CSCD 2022年第1期116-127,共12页
Regarding high drilling costs,an effort should be made to substantially reduce the drilling operation.To achieve this goal,exploration and development stages should be carried out precisely with maximum information ac... Regarding high drilling costs,an effort should be made to substantially reduce the drilling operation.To achieve this goal,exploration and development stages should be carried out precisely with maximum information acquired from the reservoir.The use of multi-attribute matching technology to predict sedimentary system has always been a very important but challenging task.To resolve the challenges,we utilized a quantitative analysis method of seismic attributes based on geological models involving high resolution 3D seismic data for sedimentary facies.We developed a workflow that includes core data,seismic attribute analysis,and well logging to highlight the benefit of understanding the facies distribution in the 3 rd Member of the Lower Jurassic Badaowan Formation,Hongshanzui area,Junggar Basin,China.1)Data preprocessing.2)Cluster analysis.3)RMS attribute based on a normal distribution constrains facies boundary.4)Mapping the sedimentary facies by using MRA(multiple regression analysis)prediction model combined with the lithofacies assemblages and logging facies assemblages.The confident level presented in this research is 0.745,which suggests that the methods and data-mining techniques are practical and efficient,and also be used to map facies in other similar geological settings. 展开更多
关键词 Clustering analysis Mapping the sedimentary facies Normal distribution Multi-attribute matching Hongshanzui area
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Multi-attribute decision-making based on subjective and objective integrated eigenvector method 认领 引用 被引量：13
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作者 龚艳冰 陈森发 《Journal of Southeast University(English Edition)》 EI CAS 2007年第1期144-147,共4页
An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making （MADM） problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attr... An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making （MADM） problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. An eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. Two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an MADM problem. The simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. Finally, a numerical example is given to show the feasibility and effectiveness of the method. The result shows that it is easier than other methods of integrating subjective and objective information. 展开更多
关键词 multi-attribute decision-making eigenvector method alternative ranking
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Novel combinatorial algorithm for the problems of fuzzy grey multi-attribute group decision making 认领 引用 被引量：13
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作者 Rao Congjun Xiao Xinping Peng Jin 《Journal of Systems Engineering and Electronics》 SCIE EI 2007年第4期774-780,共7页
To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy gr... To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy grey multi-attribute group decision making based on the theories of fuzzy mathematics and grey system is presented. Furthermore, the grey interval relative degree and deviation degree is defined, and both the optimistic algorithm of the grey interval relational degree and the algorithm of deviation degree minimization for solving this new model are also given. Finally, a decision making example to demonstrate the feasibility and rationality of this new method is given, and the results by using these two algorithms are uniform. 展开更多
关键词 multi-attribute group decision making fuzzy grey number grey interval relational degree deviation degree
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Two-phase TOPSIS of uncertain multi-attribute group decision-making 认领 引用 被引量：23
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作者 Wenkun Zhou Wenchun Jiang 《Journal of Systems Engineering and Electronics》 SCIE EI 2010年第3期423-430,共8页
To solve the uncertain multi-attribute group decision-making of unknown attribute weights,three optimal models are built to decide the corresponding ideal solution weights,standard deviation weights and mean deviation... To solve the uncertain multi-attribute group decision-making of unknown attribute weights,three optimal models are built to decide the corresponding ideal solution weights,standard deviation weights and mean deviation weights.The comprehensive attribute weights are gotten through the product of the above three kinds of weights.And each decision maker＇s weighted decision matrices are also received by using the integrated attribute weights.The closeness degrees are also gotten by use of technique for order preference by similarity to ideal solution（TOPSIS） through dealing with the weighted decision matrices.At the same time the group decision matrix and weighted group decision matrix are gotten by using each decision-maker＇s closeness degree to every project.Then the vertical TOPSIS method is used to calculate the closeness degree of each project.So these projects can be ranked according to their values of the closeness degree.The process of the method is also given step by step.Finally,a numerical example demonstrates the feasibility and effectiveness of the approach. 展开更多
关键词 multi-attribute decision-making uncertain numbers TOPSIS weights the closeness degree.
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Method for uncertain multi-attribute decisionmaking with preference information in the form of interval numbers complementary judgment matrix 认领 引用 被引量：22
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作者 Zhou Hong'an Liu Sanyang Fang Xiangrong 《Journal of Systems Engineering and Electronics》 SCIE EI 2007年第2期265-269,共5页
The uncertain multi-attribute decision-making problems because of the information about attribute weights being known partly, and the decision maker＇s preference information on alternatives taking the form of interva... The uncertain multi-attribute decision-making problems because of the information about attribute weights being known partly, and the decision maker＇s preference information on alternatives taking the form of interval numbers complementary to the judgment matrix, are investigated. First, the decision-making information, based on the subjective uncertain complementary preference matrix on alternatives is made uniform by using a translation function, and then an objective programming model is established. The attribute weights are obtained by solving the model, thus the overall values of the alternatives are gained by using the additive weighting method. Second, the alternatives are ranked, by using the continuous ordered weighted averaging （C-OWA） operator. A new approach to the uncertain multi-attribute decision-making problems, with uncertain preference information on alternatives is proposed. It is characterized by simple operations and can be easily implemented on a computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method. 展开更多
关键词 Uncertain multi-attribute decision-making Objective programming, Weight, C-OWA operator, Priority.
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Design of Multi-attribute Knowledge Base Based on Hybrid Knowledge Representation 认领 引用 被引量：4
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作者 唐志杰 杨保安 张科静 《Journal of Donghua University(English Edition)》 EI CAS 2006年第6期62-66,共5页
Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented ... Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application; integrate the heterogeneous knowledge, such as model, symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning. 展开更多
关键词 Hybrid knowledge multi-attribute knowledge base knowledge representation knowledge reasoning object-oriented method.
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Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets 认领 引用 被引量：49
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作者 Yongjie XU Yongchun Wang Xudong Miu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第6期891-897,共7页
The function of the air target threat evaluation(TE)is the foundation for weapons allocation and senor resources management within the surface air defense.The multi-attribute evaluation methodology is utilized to addr... The function of the air target threat evaluation(TE)is the foundation for weapons allocation and senor resources management within the surface air defense.The multi-attribute evaluation methodology is utilized to address the issue of the TE in which the tactic features of the detected target are treated as evaluation attributes.Meanwhile,the intuitionistic fuzzy set(IFS)is employed to deal with information uncertainty in the TE process.Furthermore,on the basis of the entropy weight and inclusion-comparison probability,a hybrid TE method is developed.In order to accommodate the demands of naturalistic decision making,the proposed method allows air defense commanders to express their intuitive opinions besides incorporating into the threat features of the detected target.An illustrative example is provided to indicate the feasibility and advantage of the proposed method. 展开更多
关键词 threat evaluation(TE) intuitionistic fuzzy set(IFS),multi-attribute evaluation intuitive opinions entropy weight,inclusion-comparison probability(ICP).
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An Improved Method Based on TODIM and TOPSIS for Multi-Attribute Decision-Making with Multi-Valued Neutrosophic Sets 认领 引用 被引量：4
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作者 Dongsheng Xu Lijuan Peng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第11期907-926,共20页
Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application,it is necessary to adopt different forms of information expression according to the actual situation o... Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application,it is necessary to adopt different forms of information expression according to the actual situation of specific decision-making problems and choose the best method to solve them.Multi-valued neutrosophic set,as an extension of neutrosophic set,can more effectively and accurately describe incomplete,uncertain or inconsistent information.TODIM and TOPSIS methods are two commonly used multi-attribute decision-making methods,each of which has its advantages and disadvantages.This paper proposes a new method based on TODIM and TOPSIS to solve multi-attribute decision-making problems under multi-valued neutrosophic environment.After introducing the related theory of multi-valued neutrosophic set and the traditional TODIM and TOPSIS methods,the new method based on a combination of TODIM and TOPSIS methods is described.And then,two illustrative examples proved the feasibility and validity of the proposed method.Finally,the result has been compared with some existing methods under the same examples and the proposed method’s superiority has been proved.This paper studies this kind of decision-making problem from algorithm idea,algorithm steps and decision-making influencing factors. 展开更多
关键词 Multi-valued neutrosophic set TODIM TOPSIS multi-attribute decision-making
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A decision support system for satellite layout integrating multi-objective optimization and multi-attribute decision making 认领 引用 被引量：3
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作者 LIANG Yan’gang QIN Zheng 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2019年第3期535-544,共10页
A decision support system, including a multi-objective optimization framework and a multi-attribute decision making approach is proposed for satellite equipment layout. Firstly, given three objectives (to minimize the... A decision support system, including a multi-objective optimization framework and a multi-attribute decision making approach is proposed for satellite equipment layout. Firstly, given three objectives (to minimize the C.G. offset, the cross moments of inertia and the space debris impact risk), we develop a threedimensional layout optimization model. Unlike most of the previous works just focusing on mass characteristics of the system, a space debris impact risk index is developed. Secondly, we develop an efficient optimization framework for the integration of computer-aided design (CAD) software as well as the optimization algorithm to obtain the Pareto front of the layout optimization problem. Thirdly, after obtaining the candidate solutions, we present a multi-attribute decision making approach, which integrates the smart Pareto filter and the correlation coefficient and standard deviation (CCSD) method to select the best tradeoff solutions on the optimal Pareto fronts. Finally, the framework and the decision making approach are applied to a case study of a satellite platform. 展开更多
关键词 layout optimization satellite multi-objective optimization Pareto front multi-attribute decision making
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