Research on Improvement of Non-DEA Efficient Units

2014 ◽  
Vol 962-965 ◽  
pp. 2831-2837
Author(s):  
Jin Ling Sun ◽  
Juan Pang ◽  
Jun Bian
Keyword(s):  
Decision Making ◽  
External Environment ◽  
Actual Situation ◽  
Strategy Space ◽  
Decision Unit ◽  
Dea Model ◽  
Potential Problems ◽  
Relationship Of ◽  
The Relationship ◽  
Decision Making Units

When dealing with the relationship of inputs and outputs by using DEA model, people often find that part of decision units are non DEA efficient in numerous evaluated decision units. For each decision unit has various internal situations, and the external environment is also relatively complex, the strategy space that managers can take should also be diversified.Therefore,the improving methods must also be diversified. The paper will combine potential problems with the non-DEA efficient decision making units to study several different improving models.Managers can choose different improving methods according to different strategy space to enable the improvement more in line with the actual situation.

The relationship of self-acceptance with decision making duration in cancer patient to perform mastectomy

2021 ◽  
pp. 1-5
Author(s):  
Ayu Ratuati Setiawan ◽  
Feny Tunjungsari ◽  
Mochamad Aleq Sander
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Cross Sectional ◽  
Abnormal Growth ◽  
Self Acceptance ◽  
Observation Method ◽  
Relationship Of ◽  
The Relationship

BACKGROUND: Cancer is a disease caused by abnormal growth of body cells that turn malignant and continue to grow uncontrollably. One of the treatments for breast cancer is mastectomy. The quickness of decision-making determines the survival rate of prognosis patients. OBJECTIVE: This study aimed to determine the relationship of self-acceptance with decision-making duration in cancer patients to perform a mastectomy. METHODS: An analytic observation method with cross-sectional design. The samples were taken by purposive sampling method with 50 samples of breast cancer patients. Data collected include age, last level of education, marital status, profession, stage of cancer during mastectomy, self-acceptance score, and decision-making duration to perform a mastectomy. RESULTS: The data analyzed with the Kruskal–Wallis test. The test showed the relationship of self-acceptance (p = 0.027) with decision-making duration in breast cancer patients to perform a mastectomy. CONCLUSION: In Conclusion, there is a relationship of self-acceptance with decision-making duration in breast cancer patients to perform a mastectomy.

Deployment, Supervision and Decision-Making of Residents in an Emergency Psychiatric Service

1979 ◽  
Vol 24 (3) ◽  
pp. 207-211 ◽  
Author(s):  
A.J.R. Finlayson ◽  
G. Bartolucci ◽  
D.L. Streiner
Keyword(s):  
Decision Making ◽  
Psychiatric Service ◽  
Inpatient Unit ◽  
Psychiatric Admission ◽  
Psychiatric Emergencies ◽  
Psychiatric Residents ◽  
Relationship Of ◽  
The Relationship

A lessening of personal discomfort felt by residents on-call in the Emergency Psychiatric Service has resulted from changes in the frequency of being on-call, exclusion of beginning residents from duty and arranging for the presence of a faculty psychiatrist for one or two hours during each on-call period. Coincidental significant reductions in the number of cases admitted to hospital and reductions in the proportion of discrepancies between diagnoses made by the emergency resident and those made later by inpatient unit staff have been described. The relationship of the changes in resident experience to the reduction in admissions and decreased proportion of diagnostic discrepancy has been discussed using a model of the process of emergency psychiatric admission described earlier by Bartolucci et al. (1). Less isolation, anxiety and some increased experience on the part of the psychiatric residents on duty in the Emergency Psychiatric Service results in greater awareness and better appraisal of the nonmedical aspects of psychiatric emergencies.

The relationship of safety climate factors, decision making attitude, risk control, and risk estimate in Malaysian radiation facilities

2019 ◽  
Vol 113 ◽  
pp. 180-191 ◽  
Author(s):  
Hazmimi Kasim ◽  
Che Rosmani Che Hassan ◽  
Mahar Diana Hamid ◽  
Sina Davazdah Emami ◽  
Mahmood Danaee
Keyword(s):  
Decision Making ◽  
Safety Climate ◽  
Risk Control ◽  
Risk Estimate ◽  
Climate Factors ◽  
Relationship Of ◽  
The Relationship

The Effects of Conflict on Team Decision Making

2011 ◽  
Vol 39 (2) ◽  
pp. 189-198 ◽  
Author(s):  
Long Cheng ◽  
Zhong-Ming Wang ◽  
Wei Zhang
Keyword(s):  
Decision Making ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Decision Making Process ◽  
Team Decision Making ◽  
Team Decision ◽  
Relationship Of ◽  
The Relationship

The aim in this study was to examine the relationship between task and relationship conflict and their effect on team decision-making. A sample of 120 participants, divided into 40 teams, was recruited. We found that the relationship of task and relationship conflict was moderated by the decision-making process and teams performed better when making good use of task conflict, while relationship conflict was reduced.

scholarly journals Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hui Teng ◽  
Yukun Ma ◽  
Di Teng
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Association Rules ◽  
Association Rule ◽  
Simulation Analysis ◽  
Pharmaceutical Research ◽  
Accurate Analysis ◽  
Systematic Analysis ◽  
Relationship Of ◽  
The Relationship

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis.

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