Research on Agent-Based Energy Saving System of Civil

2013 ◽  
Vol 816-817 ◽  
pp. 1220-1224
Author(s):  
Shou Cai Ma
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Energy Saving ◽  
Decision Making Process ◽  
Agent Based ◽  
Adjustment Mechanism ◽  
Building Systems ◽  
System Components ◽  
System Energy ◽  
The City

This paper deeply analyzes the urban civil system, energy-saving decision-making mechanism, the system components and the related energy-saving anti-adjustment mechanism based on the proposed energy-saving urban civil system's basis. It also presents the classification decision-making and decision-making process for the civil on various components on building systems in decision-making energy-saving features on the system proposed civil heat, urban heating network and the energy saving civil monomer decision making. It also builds the decision support for the city civil agent-based energy-saving system, realizing the basic institutions of the agent to propose the energy-saving urban civil decision.

scholarly journals Agent based Decision Support System for Travelers

2020 ◽  
pp. 293-298
Author(s):  
Thi Thi Tun ◽  
Prof Thwe
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Intelligent Agents ◽  
Decision Making Process ◽  
Agent Based ◽  
Travel Planning

Nowadays, management of the travelers to support their recreation or holiday planning is increasingly becoming important and popular. Planning a trip needs to assemble a wide variety of information from a large number of sources, such as car schedule and prices, hotel locations, the map of traveled places, etc. Now, this information is available in this system and it can be used to decide a better plan traveler. Decision support systems are the type of information systems expressly developed to support the decision making process and to assist a decision maker. So, this system is implemented as the decision support system for travelling. Moreover, this system describes the use of intelligent agents for extracting and integrating data to improve the ability to plan a travel. These agents can extract data, integrate this data to support travel planning and monitor all aspects of a trip. Therefore, a traveler decision support system by using intelligent agents will develop to support travelers in making their decision on a suitable track when they are faced with a number of alternative track options.

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.

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

Multivariable Automatisierungsentscheidungen*/Multivariate automation decisions – A tool for cost-benefit assessments as a basis for decision-making

2019 ◽  
Vol 109 (03) ◽  
pp. 134-139
Author(s):  
P. Burggräf ◽  
J. Wagner ◽  
M. Dannapfel ◽  
K. Müller ◽  
B. Koke
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Environmental Conditions ◽  
Cost Benefit ◽  
Decision Support Tool ◽  
Decision Making Process ◽  
Support Tool ◽  
Cost And Benefit ◽  
Benefit Evaluation ◽  
Level Of Automation

Der wachsende Bedarf an Wandlungsfähigkeit führt zu einer höheren Frequenz in der Umplanung von Montagesystemen und erfordert eine kontinuierliche Überprüfung und Anpassung des Automatisierungsgrades. Um auch die komplexen Umgebungsbedingungen abzubilden, sollen nicht-monetäre Faktoren in den Entscheidungsprozess eingebunden werden. Um die Entscheidung zu unterstützen, stellt dieser Beitrag ein Tool zur Identifizierung und Bewertung von Automatisierungsszenarien mittels einer Nutzwert-Aufwand-Analyse vor.   The increasing need for adaptability in assembly leads to a higher planning frequency of the system and requires continuous checks and adaptations of the appropriate level of automation. To account for the complex environmental conditions, non-monetary factors are included in the decision-making process. This paper presents a decision support tool to identify and evaluate automation scenarios by means of cost and benefit evaluation.

2010 Meltdown – Airport Closure Risk Communications in London and NYC

2011 ◽  
Vol 2 (1) ◽  
pp. 108-110
Author(s):  
Sweta Chakraborty ◽  
Naomi Creutzfeldt-Banda
Keyword(s):  
Decision Making ◽  
New York ◽  
New York City ◽  
York City ◽  
Risk Perceptions ◽  
Decision Making Process ◽  
City Area ◽  
Risk Communications ◽  
The City ◽  
Economic And Social Impacts

Saturday, 18 December 2010 was the first of a two day complete closure of all London area airports due to freezing temperatures and approximately five inches of snow. A week later on December 26th, New York City area airports closed in a similar manner from the sixth largest snowstorm in NYC history, blanketing the city approximately twenty inches of snow. Both storms grounded flights for days, and resulted in severe delays long after the snow stopped falling. Both London and NYC area airports produced risk communications to explain the necessity for the closures and delays. This short flash news report examines, in turn, the risk communications presented during the airport closures. A background is provided to understand how the risk perceptions differ between London and NYC publics. Finally, it compares and contrasts the perceptions of the decision making process and outcomes of the closures, which continue to accumulate economic and social impacts.

scholarly journals Uncertainties in complex dynamic environments

2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
User Interfaces ◽  
Dynamic Environments ◽  
Decision Making Process ◽  
Uncertain Information ◽  
Complex Environments ◽  
Complex Dynamic ◽  
Different Types ◽  
Machine Systems

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.

scholarly journals Sistem Pendukung Keputusan Penyeleksian Colour Guard Pada Marching Band Ginada Dengan Menggunakan Metode Vikor Dan Borda

2020 ◽  
Vol 2 (1) ◽  
pp. 35-48
Author(s):  
Nurjannah ◽  
Dito Putro Utomo
Keyword(s):  
High School ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Body Language ◽  
Routine Activity ◽  
Decision Making Process ◽  
Marching Band

Decision support system for selecting color guard with VIKOR and Borda methods. It has been made as a tool to select color guard at the Sei Rampah High School. The criteria used in the decision support system for color guard selection are: height, weight, agility, stamina, and body language. Color guard selection activities are a routine activity every year, so GINADA marching band coach Sei Rampah hereby selects to select permanent members in the marching band. Decision Support System in an organization can be seen as important in supporting the smooth running of activities and achieving an organizational goal. SPK can come in various forms, ranging from simple forms of data processing to complex application forms, and can also be used to accelerate and improve the quality of the decision-making process in the organization.

scholarly journals Support of decision-making under risk by a risk-averse decision-maker

2020 ◽  
Vol 13 ◽  
Author(s):  
Andrzej Łodziński
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Maker ◽  
The State ◽  
Decision Making Process ◽  
Discrete Problem ◽  
Risk Averse ◽  
Control Parameters ◽  
Decision Making Under Risk ◽  
State Of The Environment

The paper presents the decision support under risk by the risk averse decision maker. Decision making under risk occurs when the result of the decision is not unequivocal and depends on the state of the environment. The decision making process is modeled with the use of multi-criteria optimization. The decision is made by solving the problem with the control parameters that determine the decision maker's aspirations and the evaluation of the solutions received. The decision maker asks the parameter for which the solution is determined. Then, evaluate the solution received accepting or rejecting it. In the second case, the decision maker gives a new parameter value and the problem is solved again for the new parameter. The work includes an simple discrete problem of decision support under risk

scholarly journals Where to vacation? An agent-based approach to modelling tourist decision-making process

2015 ◽  
Vol 20 (15) ◽  
pp. 1557-1574 ◽  
Author(s):  
Inês Boavida-Portugal ◽  
Carlos Cardoso Ferreira ◽  
Jorge Rocha
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Agent Based
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