A two‐stage stochastic model based on information gap decision theory method for optimal allocation of intelligent parking lots in distribution systems considering severe uncertainties

2021 ◽  
Author(s):  
Motahareh Mojarad ◽  
Mostafa Sedighizadeh ◽  
Mohamad Dosaranian‐Moghadam
Keyword(s):  
Decision Theory ◽  
Stochastic Model ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Theory Method ◽  
Two Stage ◽  
Parking Lots ◽  
Model Based ◽  
Information Gap

scholarly journals A Proficient Two-Stage Stratified Randomized Response Strategy

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Tanveer A. Tarray ◽  
Housila P. Singh
Keyword(s):  
Optimal Allocation ◽  
Response Strategy ◽  
Response Model ◽  
Randomized Response ◽  
Two Stage ◽  
Model Based ◽  
Large Gain ◽  
Proposed Model ◽  
Randomized Response Model

A stratified randomized response model based on R. Singh, Singh, Mangat, and Tracy (1995) improved two-stage randomized response strategy is proposed. It has an optimal allocation and large gain in precision. Conditions are obtained under which the proposed model is more efficient than R. Singh et al. (1995) and H. P. Singh and Tarray (2015) models. Numerical illustrations are also given in support of the present study.

Introduction to Information Gap Decision Theory Method

2019 ◽  
pp. 1-10
Author(s):  
Farkhondeh Jabari ◽  
Behnam Mohammadi-ivatloo ◽  
Hadi Ghaebi ◽  
Mohammad-Bagher Bannae-Sharifian
Keyword(s):  
Decision Theory ◽  
Theory Method ◽  
Information Gap

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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