robust decision
Robust decision theory and the Lucas critique
... employ robust decision theory 15 . Critically this robust decision theory largely treats uncertainty as the existence of deterministic shocks and not ...using robust decision ...
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Barriers and opportunities for robust decision making approaches to support climate change adaptation in the developing world
... in decision mak- ing, but it is so large in the future that traditional approaches to infrastructure design for long term assets and investments is inadequate (Hallegatte, ...that Robust Decision ...
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Next stop, implementation: collaborative monitoring to inform adaptive policy-making and implementation
... Abstract Dynamic Adaptive Policy Pathways has been developed as an approach to deal with deep uncertainties and support robust decision-making for long-term planning. Given the unpredictable and uncertain ...
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A novel approach in robust group decision making for supply strategic planning
... proposed robust decision making method is constructed on the ground that important criteria, which are weak from internal situation aspect, should be located in the higher ...
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The Bases, Principles, and Methods of Decision-Making: A Review of Literature
... the Decision Theory is normative and ...the decision that would be taken and assumes that the ideal decider which is fully informed can estimate accurately and act fully ...the decision theory is ...
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A Distributed Consensus Algorithm for Decision Making in Service-Oriented Internet of Things
... [38]–[40], decision support systems [43]–[47], as well as business processes in general ...provide robust decision results when multiple services are involved to reach a global ...
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Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions
... In this paper we study the BEECLUST algorithm with robots under various conditions in a temperature gradient. We conclude that robots controlled by the BEECLUST al- gorithm are still able to react on environmental ...
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Achieving Sensitivity Robustness in the Optimum Design of a conical vessel An illustration
... For the problem in hand, the expected tolerance, both on the base radius R and the height of the vessel H is 0.1 cm. As the problem is of minimizing the Factor K, it can be realized that maximum positive tolerance will ...
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Structural Morphology Based Automatic Virus Particle Detection Using Robust Segmentation and Decision Tree Classification
... We described an algorithm for automatic detection of adenovirus particles based on structural morphology i.e. area and eccentricity followed by classification using decision tree classifier. The basis of the ...
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Low Complexity Channel Estimation for OFDM and MC CDMA
... SUMMARY In this paper we have proposed a channel estimation method, which is based on a low-complexity decision directed MMSE FS-CLR estimator combined with a robust time-domain FS-CIR p[r] ...
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Research of Multiple Sensors Adaptive Fault-Tolerant Control Based on T-S Fuzzy Model for EMB System
... Usually, designs in the nonlinear adaptive fault-tolerant systems are based on nonlinear process model and nonlinear controllers. The Kalman filter is a traditional adaptive model that shows unsatisfied control effects ...
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Sustainable and Robust Rechargeable Wireless Sensor Network Using Markov Decision Process Based Switching Algorithm Shraddha Goled & Mohammed Tajuddin
... Markov Decision Process (MDP) based load balancing technique has been designed with varying the energy levels of sensor nodes while choosing the operation of sensor nodes adaptively according to residual ...
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Tracker: a framework to support reducing rework through decision management
... In the Tracker project, the fundamental industrial problem that we are tackling is the need to reduce rework in systems engineering projects. Rework through changing requirements is inevitable in large projects but we ...
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The TSR-MM Based on Robust Location and Scales Measures in Dual Response Optimization in the Presence of Outliers and Heteroscedastic Errors
... on robust techniques for improving the quality of the process is suc- cessfully applied to different industrial prob- ...of robust design in response surface ...proposed robust weighted least squares ...
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Design of Fixed Order Robust Discrete Controller Using Frequency-Domain Robust Controller Design Toolbox
... Frequency-Domain Robust Controller Design Toolbox is a tool for designing robust linearly parameterized controllers in the Nyquist ...The robust controllers are designed in terms of H∞ performance or ...
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Is Segregation Robust?
... The wait until the process reaches an integrated state increases rapidly as n increases. Noise The simulations without noise showed that for reasonable time horizons the process will be out of equilibrium most of the ...
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The nature of association between investment decision and financial decision from an entrepreneurial point of view
... investment decision firstly, and make financing decision secondly, but the decision are made in separate manner and independently one to ...step decision of Fisher separation theorem, with ...
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Ranking robustness and its application to evacuation planning
... Alternatively, we may also consider each scenario as an objective function of a multi-criteria optimization problem. There usually does not exist a single solution that performs best for all objective functions at the ...
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The Quadratic Entropy Approach to Implement the Id3 Decision Tree Algorithm
... The first mention of the ID3 algorithm was in the work done by John Ross Quinlan [3] in his work on Induction of Decision trees. In his work Quinlan employed the Occam’s razor principle in order to achieve the ...
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Future of Earthquake Early Warning: Quantifying Uncertainty and Making Fast Automated Decisions for Applications
... automated decision system for taking pre-event actions in order to mitigate the potential earthquake loss (Chapter ...more robust damage detection and assessment can be performed for a target ...by ...
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