Assisting Computer — A New Generation of Support Systems

1991 ◽  
pp. 219-230 ◽  
Author(s):  
Peter Hoschka
Keyword(s):  
Support Systems ◽  
New Generation

New spatial decision support systems for sustainable urban and regional development

2015 ◽  
Vol 4 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Patrizia Lombardi ◽  
Valentina Ferretti
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Case Studies ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Content Type ◽  
New Generation ◽  
Support Decision Making ◽  
Regeneration Processes

Purpose – Policy makers are frequently challenged by the need to achieve sustainable development in cities and regions. Current decision-making processes are based on evaluation support systems which are unable to tackle the problem as they cannot take a holistic approach or a full account of actors. The purpose of this paper is to present a new generation of evaluation systems to support decision making in planning and regeneration processes which involve expert participation. These systems ensure network representation of the issues involved and visualization of multiple scenarios. Design/methodology/approach – A literature review is used for both revising existing evaluation tools in urban planning and the built environment and highlighting the need to give stakeholders (industry, cities, operators, etc.) new tools for collaborative or individual decisions and to facilitate scaling up solutions. An overview of the new generation of decision support systems, named Multicriteria Spatial Decision Support Systems (MC-SDSS) is provided and real case studies are analyzed to show their ability to tackle the problem. Findings – Recent research findings highlight that decisions in urban planning should be supported by collaborative and inclusive processes. Otherwise, they will fail. The case studies illustrated in this study highlight the usefulness of MC-SDSS for the successful resolution of complex problems, thanks to the visualization facilities and a network representation of the scenarios. Research limitations/implications – The case studies are limited to the Italian context. Practical implications – These SDSS are able to empower planners and decision makers to better understand the interaction between city design, social preferences, economic issues and policy incentives. Therefore, they have been employed in several case studies related to territorial planning and regeneration processes. Originality/value – This study provides three case studies and a review of the new MC-SDSS methodology which involve the Analytic Network Process technique to support decision-making in urban and regional planning.

Intelligent Expert Decision Support Systems

2021 ◽  
pp. 510-531
Author(s):  
Abdel-Badeeh M. Salem ◽  
Tetiana Shmelova
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support Systems ◽  
Knowledge Engineering ◽  
Support Systems ◽  
Case Based Reasoning ◽  
Web Based ◽  
Engineering Research ◽  
New Generation ◽  
Application Developers

In this chapter, the authors present Intelligent Expert Decision Support Systems (IEDSSs) technology and conceptual models of Expert systems(ES) for Human-Operator (H-O) of different areas and Air Navigation System (ANS) too. The authors demonstrate some interesting applications of IEDSS. Intelligent Expert Decision Support Systems technology is a challenging field that has witnessed great advances in the last few years. Artificial intelligence (AI) theories and approaches receive increasing attention within this emerging technology .Researchers have been used the AI concepts and theories to develop a robust generation of IEDSSs. Moreover, the convergence of AI technologies and web technologies (WT) is enabling the creation of a new generation of web-based IEDSSs for all domains and tasks. This chapter discusses the AI methodologies and techniques for developing the IEDSSs. Two most popular paradigms are discussed namely; case-based reasoning and ontological engineering. Moreover, the chapter addresses the challenges faced by the application developers and knowledge engineers in developing and deploying AI-based expert decision support systems. In addition, the chapter presents some examples of ES by the author and colleagues at National Aviation University, Ukraine and some cases of IEDSSs developed by the author and his colleagues at Artificial intelligence and Knowledge Engineering Research Labs, Ain Shams University, AIKE Labs-ASU, Cairo, Egypt.

Design Considerations in the Development of a North American High Speed Turnout

2010 ◽  
Author(s):  
Brian C. Abbott ◽  
Tom Lee ◽  
Gary Click ◽  
Steve Mattson ◽  
Ken W. Ouelette
Keyword(s):  
North American ◽  
High Speed ◽  
Support Systems ◽  
Ride Quality ◽  
Lateral Loads ◽  
High Speed Rail ◽  
Design Elements ◽  
Entire Vehicle ◽  
Axle Loads ◽  
New Generation

North American turnout and special trackwork design has evolved in an operating environment in which axle loads have increased significantly but operating speeds have remained modest. Consequently, while trackwork components have become much more robust, turnout geometries and overall system design has remained essentially static for many decades. Implementation of high speed rail (“HSR”) in North America will necessitate a radically different approach to turnout engineering. While there is much to be learned from European and Asian experience with high speed, it is anticipated that vehicle designs and mixed freight access will result in much greater axle loads. The combination of operating speed and loading will present unique challenges. Critical design elements for North America’s new generation of HSR turnouts will include: a) Compound geometries to optimize ride quality and safety while keeping overall lengths within manageable limits. b) Fastening and horizontal support systems to withstand high dynamic lateral loads. c) Dampening systems to attenuate high frequency vibration. d) Detailing such as rail seat canting and kinematic gauge optimization to enhance ride quality and increase component life. e) High modulus vertical support systems. f) Drive and locking systems specifically tailored to long HSR layouts. Regulations governing the layout and maintenance tolerances of North American turnouts will also have to be re-examined with the advent of high speed rail. Complex geometries and rapid transient loading will render the conventional approach of limiting speeds based on calculated imbalance ineffective. Accurate and rational assessment of operating safety will demand the application of dynamic numeric modeling to the entire vehicle / turnout system.

Systems Medicine in Oncology: Signaling Network Modeling and New-Generation Decision-Support Systems

2016 ◽  
pp. 181-219 ◽  
Author(s):  
Silvio Parodi ◽  
Giuseppe Riccardi ◽  
Nicoletta Castagnino ◽  
Lorenzo Tortolina ◽  
Massimo Maffei ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Network Modeling ◽  
Signaling Network ◽  
Systems Medicine ◽  
New Generation

scholarly journals THE WEB–BASED REAL ESTATE MULTIPLE CRITERIA NEGOTIATION DECISION SUPPORT SYSTEM: A NEW GENERATION OF DECISION SUPPORT SYSTEMS

2009 ◽  
Vol 13 (3) ◽  
pp. 267-286 ◽  
Author(s):  
Vita Urbanavičienė ◽  
Artūras Kaklauskas ◽  
Edmundas K. Zavadskas ◽  
Mark Seniut
Keyword(s):  
Decision Support ◽  
Real Estate ◽  
Decision Support System ◽  
Stress Analysis ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Web Based ◽  
New Generation ◽  
Voice Stress

The negotiations are an inseparable part of the real estate buying and selling process. Currently real estate are characterized by the intensive creation and use of information, knowledge and automation (software, knowledge and decision support systems, neural networks, etc.) applications. It is commonly agreed that a better integration of information, knowledge and automation applications, as well use of voice stress analysis (one of biometric technologies) might be an efficient mean for decision making in real estate negotiations. Voice stress analysis can help the negotiators to distinguish between truth and lies, improve the value of decisions made, significantly speed up real estate sector processes, help to reach a better real estate sales and purchase agreement terms and decrease the overall cost of real estate search and negotiation processes. The authors’ objective is to improve the quality and efficiency of decision support systems. The article analyses scientific research related to negotiations and presents the developed Web–based Real Estate Multiple Criteria Negotiation Decision Support System with integrated voice stress analysis– a new generation of Decision Support Systems. Santruka Derybos yra neatskiriama nekilnojamojo turto pirkimo ir pardavimo proceso dalis. Dabartiniam nekilnojamojo turto sektoriui būdingas intensyvus informacijos, žiniu ir automatizavimo naudojimas bei kūrimas (programine iranga, žiniu ir sprendimu paramos sistemos, neuroniniai tinklai ir pan.). Sutariama, kad geresnis informacijos, žiniu, automatizavimo, taip pat balso streso analizes (biometrines technologijos) integravimas pagreitina nekilnojamojo turto sektoriaus veikla. Balso streso analize gali padeti derybininkams atskirti, kada sakoma tiesa, o kada meluojama, padidina priimamu sprendimu naudinguma, paspartina nekilnojamojo turto paieškos ir derybu procesus, padeda pasiekti naudingesniu pirkimo ir pardavimo sutarties salygu bei sumažina nekilnojamojo turto paieškos ir derybu proceso kaina. Straipsnio autoriai, siekdami pagerinti sprendimu paramos sistemu kokybe ir efektyvuma, analizuoja mokslininku atliktu derybu srities tyrimu rezultatus ir pristato sukurta nekilnojamojo turto derybu internetine sprendimu paramos sistema su integruota balso streso analizes technologija kaip naujos kartos sprendimu paramos sistema.

scholarly journals Towards a new generation of simulation models in public health education

2002 ◽  
Vol 18 (1) ◽  
Author(s):  
Deon V. Canyon ◽  
David N. Podger
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Educational Software ◽  
Support Systems ◽  
Simulation Models ◽  
Public Health Education ◽  
Simulation Software ◽  
Learning Theories ◽  
New Generation

This article sets the scene for the development of an educational simulation software package based on multimedia, decision support systems, risk estimates, project outcomes and evaluation. It begins by looking at the history and current use of educational software and its application to the education of public health professionals. Then, it previews accompanying technological advances that were essential precursors to the facilities now available and reviews learning theories relevant to the development of problem solving simulation models. Possible candidates for providing more effective educational solutions, such as decision support systems, modelling and simulation software are reviewed and the design of a new generation, fully integrated simulation model is discussed.

scholarly journals Effect of Database Generation on Damage Consequences’ Assessment Based on Random Forests

2021 ◽  
Vol 9 (11) ◽  
pp. 1303
Author(s):  
Luca Braidotti ◽  
Jasna Prpić-Oršić ◽  
Marko Valčić
Keyword(s):  
Machine Learning ◽  
Monte Carlo ◽  
Decision Support ◽  
Decision Support Systems ◽  
Random Forests ◽  
Support Systems ◽  
Probability Distributions ◽  
New Generation ◽  
Main Effects ◽  
Further Development

Recently, the application of machine learning has been explored to assess the main damage consequences without employing flooding sensors. This method can be the base of a new generation of onboard decision support systems to help the master during the progressive flooding of the ship. In particular, the application of random forests has been found suitable to assess the final fate of the ship and the damaged compartments’ set and estimate the time-to-flood. Random forests have to be trained using a database of precalculated progressive flooding simulations. In the present work, multiple options for database generation were tested and compared: three based on Monte Carlo (MC) sampling based on different probability distributions of the damage parameters and a parametric one. The methods were tested on a barge geometry to highlight the main effects on the damage consequences’ assessment in order to ease the further development of flooding-sensor-agnostic decision support systems for flooding emergencies.

scholarly journals Exploring a Flooding-Sensors-Agnostic Prediction of the Damage Consequences Based on Machine Learning

2021 ◽  
Vol 9 (3) ◽  
pp. 271
Author(s):  
Luca Braidotti ◽  
Marko Valčić ◽  
Jasna Prpić-Oršić
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Machine Learning Algorithms ◽  
Damage Scenario ◽  
Passenger Ships ◽  
Bagged Decision Trees ◽  
Emergency Decision ◽  
New Generation

Recently, progressive flooding simulations have been applied onboard to support decisions during emergencies based on the outcomes of flooding sensors. However, only a small part of the existing fleet of passenger ships is equipped with flooding sensors. In order to ease the installation of emergency decision support systems on older vessels, a flooding-sensor-agnostic solution is advisable to reduce retrofit cost. In this work, the machine learning algorithms trained with databases of progressive flooding simulations are employed to assess the main consequences of a damage scenario (final fate, flooded compartments, time-to-flood). Among the others, several classification techniques are here tested using as predictors only the time evolution of the ship floating position (heel, trim and sinkage). The proposed method has been applied to a box-shaped barge showing promising results. The promising results obtained applying the bagged decision trees and weighted k-nearest neighbours suggests that this new approach can be the base for a new generation of onboard decision support systems.

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