scholarly journals How can scientific information on the Okavango Region be made useful for decision making? - An integrated compilation of the first products of the project "The Future Okavango"

2013 ◽  
Vol 5 ◽  
pp. 7 ◽  
Author(s):  
Norbert Juergens
Keyword(s):  
Decision Making ◽  
Scientific Information ◽  
The Future

FISCAL PESSIMISM IN HISTORICAL PERSPECTIVE: TOCQUEVILLE'S CROSS REVISITED

2021 ◽  
pp. 1-21
Author(s):  
Isabel Cepeda ◽  
Pedro Fraile Balbín
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Political Economy ◽  
Historical Perspective ◽  
Income Redistribution ◽  
Government Control ◽  
Economic Decision ◽  
Modern School ◽  
Economic Decision Making ◽  
The Future

ABSTRACT This paper explores Alexis de Tocqueville's thought on fiscal political economy as a forerunner of the modern school of preference falsification and rational irrationality in economic decision making. A good part of the literature has misrepresented Tocqueville as an unconditional optimist regarding the future of fiscal moderation under democracy. Yet, although he initially shared the cautious optimism of most classical economists with respect to taxes under extended suffrage, Tocqueville's view turned more pessimistic in the second volume of his Democracy in America. Universal enfranchisement and democratic governments would lead to higher taxes, more intense income redistribution and government control. Under democracy, the continuous search for unconditional equality would eventually jeopardise liberty and economic growth.

Redisign of the Air Traffic Control System-Moving People through Distributed Management

1978 ◽  
Vol 22 (1) ◽  
pp. 485-485
Author(s):  
John G. Kreifeldt
Keyword(s):  
Decision Making ◽  
Control System ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Negative Impact ◽  
Air Traffic ◽  
Critical Function ◽  
Congressional Hearings ◽  
The Future ◽  
Traffic Control System

The present national Air Traffic Control system is a ground-centralized, man intensive system which through design allows relatively little meaningful pilot participation in decision making. The negative impact of this existing design can be measured in delays, dollars and lives. The FAA's design plans for the future ATC system will result in an even more intensive ground-centralized system with even further reduction of pilot decision making participation. In addition, controllers will also be removed from on-line decision making through anticipated automation of some or all of this critical function. Recent congressional hearings indicate that neither pilots nor controllers are happy or sanguine regarding the FAA's design for the future ATC system.

Decision making: How the past guides the future in frontal cortex

2021 ◽  
Vol 31 (6) ◽  
pp. R303-R306
Author(s):  
Bharath Chandra Talluri ◽  
Anke Braun ◽  
T.H. Donner
Keyword(s):  
Decision Making ◽  
Frontal Cortex ◽  
The Past ◽  
The Future

Forecast of the efficiency confidence interval of decision-making units in data envelopment analysis

2020 ◽  
Vol 33 (02) ◽  
pp. 431-445
Author(s):  
Azarnoosh Kafi ◽  
Behrouz Daneshian ◽  
Mohsen Rostamy-Malkhalifeh ◽  
Mohsen Rostamy-Malkhalifeh
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Confidence Interval ◽  
Data Envelopment ◽  
Data Set ◽  
Interval Model ◽  
Time Period ◽  
Proposed Model ◽  
The Future ◽  
Decision Making Units

Data Envelopment Analysis (DEA) is a well-known method for calculating the efficiency of Decision-Making Units (DMUs) based on their inputs and outputs. When the data is known and in the form of an interval in a given time period, this method can calculate the efficiency interval. Unfortunately, DEA is not capable of forecasting and estimating the efficiency confidence interval of the units in the future. This article, proposes a efficiency forecasting algorithm along with 95% confidence interval to generate interval data set for the next time period. What’s more, the manager’s opinion inserts and plays its role in the proposed forecasting model. Equipped with forecasted data set and with respect to data set from previous periods, the efficiency for the future period can be forecasted. This is done by proposing a proposed model and solving it by the confidence interval method. The proposed method is then implemented on the data of an automotive industry and, it is compared with the Monte Carlo simulation methods and the interval model. Using the results, it is shown that the proposed method works better to forecast the efficiency confidence interval. Finally, the efficiency and confidence interval of 95% is calculated for the upcoming period using the proposed model.

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