Decision analysis of Air Traffic Controller in order to propose decision support systems

2009 ◽  
Author(s):  
David Annebicque ◽  
Igor Crevits ◽  
Thierry Poulain ◽  
Serge Debernard ◽  
Patrick Millot
Keyword(s):  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Support Systems ◽  
Air Traffic ◽  
Air Traffic Controller

scholarly journals DECISION CONCEPTS

2014 ◽  
pp. 18-22
Author(s):  
Miki Sirola
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Production Planning ◽  
Support Systems ◽  
Detailed Examination ◽  
Decision Models ◽  
Decision Science ◽  
Knowledge Based

Decision making is done in many application areas. Still most studies are done in such fields as economy and production planning. In methodologies used there exists more variation. This paper reviews the decision concepts discussed in the literature. Also some decision models by the author are commented. The field and practise in decision science is summarized. Although decision support systems are the final results of many projects, they are mostly based on the decision concepts behind the studies that deserve also more detailed examination. Decision analysis approach and knowledge-based technologies are examples of commonly used concepts.

Applications of Decision-Support Systems in Sociotechnical Systems

2019 ◽  
pp. 188-213
Author(s):  
Tetiana Shmelova ◽  
Yuliya Sikirda
Keyword(s):  
Decision Support ◽  
Expert Systems ◽  
Decision Support Systems ◽  
Safety Management ◽  
Support Systems ◽  
Automated System ◽  
Civil Aviation ◽  
Air Traffic Controller ◽  
Forced Landing ◽  
External Management

In this chapter, the authors present conceptual models of decision support systems (DSS) and Expert systems (ES) for Human-Operator (H-O) of Air Navigation System (ANS), such as air traffic controller (ATC) in flight emergencies, Unmanned Aerial Vehicles (UAV) operator, Safety Management System (SMS), etc. The authors made an analysis of the International civil aviation organization (ICAO) documents on risk assessment and the impact of the social environment on the aviation system. Automated system of pre-flight information preparation with intelligent module for support the decision making (DM) about aircraft departure are presented and program realization of systems are shown. The authors obtained algorithm of determining the optimal aerodrome for the forced landing of aircraft is provided. Expert systems of aviation enterprise's estimation were developed. Inhomogeneous factors of internal and external management environment of aviation enterprise were generalized using set-theoretical approach. This gave possibilities to define that the level of safety of aviation activity has the greatest influence among factors of internal environment and global economic situation – among factors of external environment. The authors demonstrate some interesting applications of DM in Socio-Technical Systems (STS). The DSS for H-O of ANS in the emergency situational were developed. Examples of DSS: DSS of ATC in the emergency situational; the flight dispatcher's DSS; DSS of UAV's operator, etc. In addition, the chapter presents some cases of DSS developed by the authors and colleagues at National Aviation University, Ukraine.

Value and Values

2021 ◽  
pp. 13-31
Author(s):  
Charles E. Phelps ◽  
Guru Madhavan
Keyword(s):  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Systems Engineering ◽  
Support Systems ◽  
Objective Data ◽  
Group Choice ◽  
Wine Quality ◽  
Good Decision ◽  
Individual Preferences

Many decisions are done intuitively. Sometimes, this works well, and sometimes they lead us astray. Tools of systems engineering recognize human biases and ask about what we do best—specify what is most important to us under the circumstances. This chapter presents a brief introduction into this world (multi-criteria decision analysis) using an example comparing three fictitious wines to show how different preferences lead to different rankings of wine quality, even when using the same “objective” data. This is as it should be—tastes differ, and good decision support systems take this into account. At this point, we focus on decisions made by one person. Later chapters focus on combining a diversity of individual preferences into a group choice.

Applications of Decision-Support Systems in Sociotechnical Systems

2017 ◽  
pp. 182-214
Author(s):  
Tetiana Shmelova ◽  
Yuliya Sikirda
Keyword(s):  
Decision Support ◽  
Expert Systems ◽  
Decision Support Systems ◽  
Safety Management ◽  
Support Systems ◽  
Automated System ◽  
Civil Aviation ◽  
Air Traffic Controller ◽  
Forced Landing ◽  
External Management

In this chapter, the authors present conceptual models of decision support systems (DSS) and Expert systems (ES) for Human-Operator (H-O) of Air Navigation System (ANS), such as air traffic controller (ATC) in flight emergencies, Unmanned Aerial Vehicles (UAV) operator, Safety Management System (SMS), etc. The authors made an analysis of the International civil aviation organization (ICAO) documents on risk assessment and the impact of the social environment on the aviation system. Automated system of pre-flight information preparation with intelligent module for support the decision making (DM) about aircraft departure are presented and program realization of systems are shown. The authors obtained algorithm of determining the optimal aerodrome for the forced landing of aircraft is provided. Expert systems of aviation enterprise's estimation were developed. Inhomogeneous factors of internal and external management environment of aviation enterprise were generalized using set-theoretical approach. This gave possibilities to define that the level of safety of aviation activity has the greatest influence among factors of internal environment and global economic situation – among factors of external environment. The authors demonstrate some interesting applications of DM in Socio-Technical Systems (STS). The DSS for H-O of ANS in the emergency situational were developed. Examples of DSS: DSS of ATC in the emergency situational; the flight dispatcher's DSS; DSS of UAV's operator, etc. In addition, the chapter presents some cases of DSS developed by the authors and colleagues at National Aviation University, Ukraine.

Intelligent DSS Under Verbal Decision Analysis

2011 ◽  
pp. 514-527 ◽  
Author(s):  
Ilya Ashikhmin ◽  
Eugenia Furems ◽  
Alexey Petrovsky ◽  
Michael Sternin
Keyword(s):  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Support Systems ◽  
Expert Knowledge ◽  
Methodological Approach ◽  
Problem Solution ◽  
Problem Description ◽  
Verbal Decision Analysis ◽  
Main Ideas

Verbal decision analysis (VDA) is a relatively new term introduced in Larichev and Moshkovich (1997) for a methodological approach to discrete multi-criteria decision making (MCDM) problems that was under elaboration by Russian researchers since the 1970s. Its main ideas, principles, and strength in comparison with other approaches to MCDM problems are summarized in Moshkovich, Mechitov, and Olson (2005) and in posthumous book (Larichev, 2006) as follows: problem description (alternatives, criteria, and alternatives’ estimates upon criteria) with natural language without any conversion to numerical form; usage of only those operations of eliciting information from a decision maker (DM) that deems to be psychologically reliable; control of DM’s judgments consistency, and traceability of results, that is, the intermediate and final results of a problem solution have to be explainable to DM. The main objective of this chapter is to provide an analysis of the methods and models of VDA for implementing them in intellectual decision support systems. We start with an overview of existing approaches to VDA methods and model representation. In the next three sections we present examples of implementing the methods and models of VDA for intellectual decision support systems designed for such problems solving as discrete multi-criteria choice, construction of expert knowledge base, and multi-criteria assignment problem. Finally, we analyze some perspective of VDA-based methods to implement them for intellectual decision support systems.

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