Consensus intuitionistic fuzzy group decision-making method for aircraft cockpit display and control system evaluation

Geng, Tao; Zhang, An; Lu, Guangyue

doi:10.1109/jsee.2013.00074

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…Hence it can describe more precisely and definitively than fuzzy set. At present, the research on IFTs has achieved fruitful results [17][18][19][20]. But in some practical settings, the sum of membership degree and non-membership degree may be bigger than one.…”

Section: Introductionmentioning

confidence: 99%

Pythagorean probabilistic hesitant triangular fuzzy aggregation operators with applications in multiple attribute decision making

Fuping

Liu

et al. 2023

J. of Syst. Eng. Electron.

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As a generalization of fuzzy set, hesitant probabilistic fuzzy set and pythagorean triangular fuzzy set have their own unique advantages in describing decision information. As modern socioeconomic decision-making problems are becoming more and more complex, it also becomes more and more difficult to appropriately depict decision makers' cognitive information in decision-making process. In order to describe the decision information more comprehensively, we define a pythagorean probabilistic hesitant triangular fuzzy set (PPHTFS) by combining the pythagorean triangular fuzzy set and the probabilistic hesitant fuzzy set. Firstly, the basic operation and scoring function of the pythagorean probabilistic hesitant triangular fuzzy element (PPHTFE) are proposed, and the comparison rule of two PPHTFEs is given. Then, some pythagorean probabilistic hesitant triangular fuzzy aggregation operators are developed, and their properties are also studied. Finally, a multi-attribute decision-making (MADM) model is constructed based on the proposed operators under the pythagorean probabilistic hesitant triangular fuzzy information, and an illustration example is given to demonstrate the practicability and validity of the proposed decision-making method.

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Section: Introductionmentioning

confidence: 99%

Pythagorean probabilistic hesitant triangular fuzzy aggregation operators with applications in multiple attribute decision making

Fuping

Liu

et al. 2023

J. of Syst. Eng. Electron.

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show abstract

“…For example, [7,8] construct a template archive based on the military knowledge of domain experts, extract features from target combat operations, and determine the intention through the matching degree of inference features and the template base. However, its theoretical flexibility is insufficient and it can not handles unplanned sequence of operations; [9,10] build a knowledge archive based on domain experts' combat knowledge, express the corresponding relationship between the battlefield situation and combat intentions by rules, and finally use the inference machine to deduce intentions based on the obtained battlefield intelligence information. However, it requires a lot of prior knowledge of domain experts to quantify the feature weight of intention recognition.…”

Section: Introductionmentioning

confidence: 99%

“…Because of reasons including unknown technical, unknown tactical status of the coming targets, and the possible interference by enemy electronic countermeasures devices, there are many uncertainty in the process of ATIR, which makes ATIR remains a challenging task even in nowadays [6]. There are various technical theories have been used to solve this problem, such as template matching [7,8], expert system [9,10], and Bayesian network [11,12]. Each method has its own advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

A human rules-based game agent with TDGG and VGD for online air target intention recognition

Chen,

Yang

2023

Preprint

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Air target intention recognition (ATIR) is critical in the modern air defense operations. Through the analysis of typical air defense combat scenarios, first, the paper defines the intention space and intention parameters of air units based on military experience and domain knowledge. Then, a human rules-based game agent for online intention recognition is proposed, with no training, no tagging, no big data support, which is not only for intention recognition, parameters prediction, but for formation identification of air targets. The most critical point of the agent is the introduction and application of thermal distribution grid graph (TDGG) and virtual grid dictionary (VGD), where the former is used to identify the formation information of air targets, and the latter is used to optimize the storage space and simplify the access process for the large-scale and real-time combat information. Finally, to have a performance evaluation and application analysis for the algorithm, we carried out a data instance analysis of ATIR and an air defense warfare simulation experiment based on a Wargame platform, both of them verified the effectiveness, practicality and feasibility of the proposed game agent compared with the classical k-means and the sector-based forward search method.

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“…In recent years, some works can be found in related literature [3][4][5]. Various technical theories, such as template matching [6,7], expert system [8,9], and Bayesian network [10,11] have been used to solve this problem. Besides, in recent years, deep learning (Deep Learning, DL) plays key roles in data analytic and have been widely applied in many applications for its promising generalization ability [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A thermal grid-based method for intention recognition of air target formations

Chen

Feng

Zhou

2022

International Conference on Mechanisms and Robotics (ICMAR 2022)

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Intention recognition of air target formations plays a crucial role in modern air warfare. Therefore, the paper combines expert experience and domain knowledge to propose a formation intention determination method based on a thermal grid map. Firstly, the confrontation area is reasonably gridded, secondly, a thermal distribution grid map is generated based on the spatial characteristics of the target intelligence data, then formations are derived based on the map, and finally the intention of each formation is judged based on the adversarial rules. In order to evaluate the feasibility of this method, a data case is given in this paper to demonstrate its effectiveness in practical application.

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Consensus intuitionistic fuzzy group decision-making method for aircraft cockpit display and control system evaluation

Cited by 11 publications

References 23 publications

Pythagorean probabilistic hesitant triangular fuzzy aggregation operators with applications in multiple attribute decision making

Pythagorean probabilistic hesitant triangular fuzzy aggregation operators with applications in multiple attribute decision making

A human rules-based game agent with TDGG and VGD for online air target intention recognition

A thermal grid-based method for intention recognition of air target formations

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