DECIDE: decision support models and a DSS for European academic and public libraries

VINE ◽  
1996 ◽  
Vol 26 (2) ◽  
pp. 8-12
Author(s):  
Robert Davies
Keyword(s):  
Decision Support ◽  
Public Libraries ◽  
Decision Support Models

Models of decision support in socio-cyber-physical systems

2019 ◽  
pp. 55-70 ◽  
Author(s):  
A. V. Smirnov ◽  
T. V. Levashova
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Situation Awareness ◽  
Cyber Physical Systems ◽  
Emergent Behavior ◽  
Emergent Properties ◽  
Decision Making Process ◽  
Physical Systems ◽  
Decision Support Models ◽  
Common Goals

Introduction: Socio-cyber-physical systems are complex non-linear systems. Such systems display emergent properties. Involvement of humans, as a part of these systems, in the decision-making process contributes to overcoming the consequences of the emergent system behavior, since people can use their experience and intuition, not just the programmed rules and procedures.Purpose: Development of models for decision support in socio-cyber-physical systems.Results: A scheme of decision making in socio-cyber-physical systems, a conceptual framework of decision support in these systems, and stepwise decision support models have been developed. The decision-making scheme is that cybernetic components make their decisions first, and if they cannot do this, they ask humans for help. The stepwise models support the decisions made by components of socio-cyber-physical systems at the conventional stages of the decision-making process: situation awareness, problem identification, development of alternatives, choice of a preferred alternative, and decision implementation. The application of the developed models is illustrated through a scenario for planning the execution of a common task for robots.Practical relevance: The developed models enable you to design plans on solving tasks common for system components or on achievement of common goals, and to implement these plans. The models contribute to overcoming the consequences of the emergent behavior of socio-cyber-physical systems, and to the research on machine learning and mobile robot control.

Efficiency Analysis of Turkey's Transportation System Using Decision Support Model

2016 ◽  
pp. 61-92
Author(s):  
Adnan Sozen ◽  
Fatih Cipil
Keyword(s):  
European Union ◽  
Decision Support ◽  
Malmquist Index ◽  
Efficiency Analysis ◽  
The European Union ◽  
Railway Transportation ◽  
Decision Support Model ◽  
Decision Support Models ◽  
Policy Objectives ◽  
The Eu

Since the European Union has certain targets and criteria that must be fulfilled by its members, Turkey's situation in transportation compared to the EU member countries (23 countries whose data were accessed) was examined through the approaches of decision support models (Data Envelopment Analysis and Malmquist Index). This study investigates whether Turkey utilizes its road, airway and railway transportation indicators efficiently or not within the framework of the European Union (EU) accession process. In addition, it aims to demonstrate Turkey's current position compared to other EU countries by performing relative efficiency analysis on road, airway and railway transportation indicators. The conclusions of this study will help policymakers to determine Turkey's policy objectives for its integration to the EU in terms of transportation indicators.

Some Selected Case Study Applications

2016 ◽  
pp. 180-270
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Decision Process ◽  
Support Systems ◽  
Labor Cost ◽  
The Matrix ◽  
Markov Decision ◽  
Decision Support Models ◽  
Minimization Technique

Having examined the modelling principles of underpinning based decision support systems applied to construction in Chapter 6, this chapter will now demonstrate their detail applications in construction practice. Specifically, 7 decision-support systems will be examined. The choices are based on the fact that data for use in the decision support models are available. The decision-support systems considered are the matrix-based used in determining labor cost, sub-chaining method, linear regression, optimization (i.e. minimization) technique, Markov decision process and rule-based systems.

scholarly journals Demonstrating correspondence between decision-support models and dynamics of real-world environmental systems

2016 ◽  
Vol 83 ◽  
pp. 74-87 ◽  
Author(s):  
Ray Huffaker ◽  
Rafael Muñoz-Carpena ◽  
Miguel A. Campo-Bescós ◽  
Jane Southworth
Keyword(s):  
Decision Support ◽  
Real World ◽  
Environmental Systems ◽  
Decision Support Models
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