Introduction to Stochastic Models of Decision Making in Arranged Marriages

2005 ◽  
Author(s):  
Amitrajeet A. Batabyal
Keyword(s):  
Decision Making ◽  
Stochastic Models ◽  
Arranged Marriages

Models of Decision-Making Operators of Socio-Technical System

2017 ◽  
pp. 33-75 ◽  
Author(s):  
Tetiana Shmelova ◽  
Yuliya Sikirda
Keyword(s):  
Decision Making ◽  
Stochastic Models ◽  
Network Models ◽  
Technical System ◽  
Behavioral Activity ◽  
Neural Network Models ◽  
Markov Network ◽  
The Neural Network ◽  
Tree Models ◽  
Aerial Vehicle

In this chapter, the authors present Air Navigation System (ANS) as a Socio-technical System (STS). The authors present models of decision making (DM) operators of STS, such as the deterministic models obtained for using network planning; the stochastic models obtained for using decision-tree; models in uncertainty obtained for using criteria Vald, Laplace, Savage, Hurwicz and other. The authors presented also DM models of operators in ANS, such as the neural network models, fuzzy models, the Markov network models, GERT-models for modelling and forecasting of behavioral activity of ANS's Human-operator (H-O) in flight emergencies situation. The scenarios of developing a flight situation in case of selecting either the positive or negative pole in accordance with the reflexive theory have been obtained. They demonstrate some examples with DM's deterministic and stochastic models for engineers, pilots, air traffic controllers, Unmanned Aerial Vehicle (UAV) operators, managers etc. In addition, the chapter presents some examples of DM models developed by the author and students at National Aviation University.

scholarly journals Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

2020 ◽  
Vol 28 (2) ◽  
pp. 133-138 ◽  
Author(s):  
Aleksy Kwilinski ◽  
Aleksandra Kuzior
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Stochastic Models ◽  
Industrial Enterprise ◽  
Enterprise Management ◽  
Business Activity ◽  
Depth Of Penetration ◽  
Economic Mechanism ◽  
Industrial Enterprises

AbstractThe possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

Collaborative Decision Making in Emergencies by the Integration of Deterministic, Stochastic, and Non-Stochastic Models

2021 ◽  
pp. 200-234
Author(s):  
Tetiana Shmelova
Keyword(s):  
Decision Making ◽  
Stochastic Models ◽  
General Information ◽  
Collaborative Decision Making ◽  
Stochastic Uncertainty ◽  
Risk Levels ◽  
Air Traffic Controllers ◽  
Multi Stage ◽  
Uncertainty Models ◽  
Collaborative Decision

The author makes an analysis of the ICAO documents on risk assessment. To determine the quantitative characteristics of risk levels, models for decision-making (DM) by the operators (pilots, air traffic controllers, engineers) under risk and uncertainty have been developed. The new methodology includes the process of integration deterministic, stochastic, and non-stochastic uncertainty models. Application of artificial intelligence (AI) models for the organization of collaborative decision making (CDM) by all aviation operators using individual models based on general information on the flight. The CDM models involve an uninterrupted process of presenting information, ensuring the synchronization of decisions, and the exchange of information an acceptable level of efficiency and safety were obtained. Models of multi-stage DM in risk conditions are presented taking into account threats at the stages of development of the situation. In addition, the chapter presents some examples of DM in an emergency (light strike) by the author and students at National Aviation University, Ukraine.

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