A Quantum Probabilistic Linguistic Term Framework to Multi-attribute Decision-Making for Battlefield Situation Assessment

Li, Junyao; Hao, Zhinan

doi:10.1007/s40815-021-01151-5

Cited by 14 publications

(6 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of the ways that people naturally make decisions, MAGDM techniques are more intuitive. Modeling human behavior with MAGDM is rapidly evolving in various fields [37][38][39][40][41] .…”

Section: Fuzzy Multiple-attribute Group Decision-makingmentioning

confidence: 99%

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

Gurmani

Zhang

Malik³

et al. 2023

Preprint

View full text Add to dashboard Cite

Selecting a supplier for emergency medical supplies during disasters can be considered as a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of decision-makers are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. This paper proposes a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean and T-SF weighted partitioned Bonferroni mean operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, to demonstrate the viability of the suggested approach, an example of supplier selection for emergency medical supplies is provided. The influence of parameters on decision results and further comparative analysis confirmed the reliability and accuracy of the suggested approach.

show abstract

Section: Fuzzy Multiple-attribute Group Decision-makingmentioning

confidence: 99%

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

Gurmani

Zhang

Malik³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Step 4: Calculate the weight of threat factors based on AHP method as Step 5: According to equation (11) to equation (12), calculate the optimal weight of threat factors based on threat factor weight optimization model as…”

Section: Figure 2 Flow Of Dynamic Threat Assessmentmentioning

confidence: 99%

“…Several research methods have been used in the past to address this problem. For example, Hierarchical analysis method(AHP) [3,4,5] , fuzzy sets theory [6,7] , TOPSIS method [8,9] and multiple attribute decision making [10,11] and so on. However, the above methods do not take into account the effects of changes in air combat situational information.…”

Section: Introductionmentioning

confidence: 99%

Multi-UAV cooperative air combat target assignment method based on VNS-IBPSO algorithm in complex dynamic environment

Chen

et al. 2023

Preprint

View full text Add to dashboard Cite

Effective target assignment plays a crucial role in maximizing the efficiency and success of cooperative air combat involving multiple UAVs in complex and dynamic environments. Accurate target threat assessment is essential for successful target assignment. This study proposes a threat assessment method that considers multiple threat factors of UAV targets and introduces an uncertain information representation technique using interval-valued intuitionistic fuzzy number. To achieve the fusion of multi-moment target information, weights are assigned to the time series using the normal distribution method. Furthermore, a weight optimization model is presented to integrate the threat factor weights obtained through the AHP method and the entropy method. For solving the multi-weapon multi-target assignment problem, a target assignment method based on the VNS-IBPSO algorithm is introduced. This method improves upon the limitations of the BPSO algorithm, such as limited local search capability and premature convergence, by combining variable neighborhood search (VNS) and an improved binary particle swarm optimization algorithm (IBPSO). The effectiveness of the proposed method is validated through simulation experiments, which demonstrate its ability to quickly and accurately complete target assignment tasks. This method provides an effective solution for the coordination task allocation of multi-UAV cooperative air combat.

show abstract

“…Generally, blackboard model, template matching, Bayesian network D-S evidence theory and other methods is used to solve the problem, but the situation uncertainty and fuzziness are difficult to solve due to incomplete data and difficult to predict confrontation behaviour. Li et al 65 proposed a quantum probabilistic language terminology framework for multi-attribute decision-making, which solves such problems through quantum state, quantum data processing and quantum interaction effect.…”

Section: Situation Generationmentioning

confidence: 99%

Development status and trend of autonomous operation for unmanned surface vehicle

Cai

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

View full text Add to dashboard Cite

Autonomous operation for unmanned surface vehicle (USV) is the core competence for USV, and an important mean for unmanned and intelligent operation. USVs can be used for multi-mission, so autonomous operation for USV faces a lot of challenges, such as complex and changeable marine environmental factors, limited means of awareness in sea, low degree of automated operational decisions, difficult integration control of sailing and combat equipment. This study summarizes the development status of autonomous operation for USVs from awareness, decision and control. It addresses the difficult issues and current main technologies of autonomous operation for USVs, and points out the deficiencies of the technologies. Finally, based on the analyses of development status, it addresses the development trend of autonomous operation for USV.

show abstract

A Quantum Probabilistic Linguistic Term Framework to Multi-attribute Decision-Making for Battlefield Situation Assessment

Cited by 14 publications

References 47 publications

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

Multi-UAV cooperative air combat target assignment method based on VNS-IBPSO algorithm in complex dynamic environment

Development status and trend of autonomous operation for unmanned surface vehicle

Contact Info

Product

Resources

About