Improving Group Decision Support Systems using Rough Set

Eisa, Mohamed

doi:10.5120/11812-7473

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…It is very important in the future to consider a MA-MCDM methodology to take explicitly into account a multiplicity of stakeholders' opinions. This perspective implies to develop an approach searching for consensus between the breeders [see for example, Eisa (2013) and Cailloux et al (2012) for recent works about group decision with DRSA and ELECTRE-Tri].…”

Section: Resultsmentioning

confidence: 99%

Multi-criteria sorting methods to select virtual peach ideotypes

Memmah¹,

Quilot-Turion

Rolland

2014

IJMCDM

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Resultsmentioning

confidence: 99%

Multi-criteria sorting methods to select virtual peach ideotypes

Memmah¹,

Quilot-Turion

Rolland

2014

IJMCDM

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“…Therefore, uncertain multi-attribute group decision-making has become a research hotspot in decision theory in recent years. The main research methods include: grey correlation analysis [2], Dempster-Shafer evidence theory (D-S evidence theory) [3][4][5], fuzzy set theory [6][7][8], and rough sets theory [9][10][11], etc., among them, D-S evidence theory can well describe the uncertainty and incompleteness of evaluation information without prior probability. At the same time, the Dempster combination rule can effectively integrate data from multiple information sources, which makes it widely used in fields such as information fusion [12], fault diagnosis [13], reliability evaluation [14], human reliability analysis [15], etc.…”

Section: Introductionmentioning

confidence: 99%

A Novel Integration Method for D Numbers Based on Horizontal Comparison

Hou

Chun-yu

2021

Axioms

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D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty modelling, but if it cannot effectively deal with the problem of missing information, sometimes unreasonable conclusions will be drawn. This paper proposes a new type of integration representation of D numbers, which compares the data of multiple evaluation items horizontally, and can reasonably fill in missing information. We apply this method to the user experience evaluation problem of online live course platform to verify the effectiveness of this method.

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“…Recently, the commonly utilized decision-making methods include expert system theory, 1-3 differential games, [4][5][6] rough set, [7][8][9] Bayesian network, [10][11][12] and swarm intelligence algorithm. [13][14][15] Literature 16 studied the autonomous decision-making method of the unmanned aerial vehicle (UAV) under uncertain environment in intelligence, surveillance, and reconnaissance (ISR) task.…”

Section: Introductionmentioning

confidence: 99%

Research on unmanned combat aerial vehicle robust maneuvering decision under incomplete target information

Wang

Huang

Tang

2016

Advances in Mechanical Engineering

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This article investigates the problem of designing a novel maneuvering decision-making method for the unmanned combat aerial vehicle. The design objective is to promote the real-time ability of decision-making method and solve the problem of uncertainty caused by incomplete target information. On the basis of statistics theory, a robust maneuvering decision method with self-adaptive target intention prediction is proposed. The robustness design is embedded in the membership function of the situation parameters. The reachable set theory and adaptive adjustment mechanism of the target state weight are used in the target intention prediction to promote the real-time ability. Simulations are conducted under the condition that the enemy aircraft perform both non-maneuvering and combat maneuvering. The results verify the good properties of the decision-making method, which can extend the survival time of the unmanned combat aerial vehicle when the enemy aircraft attacks, and short the taking position and attack time of the unmanned combat aerial vehicle when the enemy aircraft evades.

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Improving Group Decision Support Systems using Rough Set

Cited by 4 publications

References 15 publications

Multi-criteria sorting methods to select virtual peach ideotypes

Multi-criteria sorting methods to select virtual peach ideotypes

A Novel Integration Method for D Numbers Based on Horizontal Comparison

Research on unmanned combat aerial vehicle robust maneuvering decision under incomplete target information

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