scholarly journals Emerging Applications of the New Paradigm of Intelligent Decision Making Process: Hybrid Decision Support Systems for Virtual Enterprise (DSS-VE)

10.5772/51817 ◽  
2012 ◽  
Author(s):  
Gabriela Prelipcean ◽  
Mircea Boscoianu
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Virtual Enterprise ◽  
Decision Making Process ◽  
New Paradigm ◽  
Intelligent Decision Making ◽  
Intelligent Decision

Intelligent Agents in Decision Support Systems

2011 ◽  
pp. 857-866 ◽  
Author(s):  
Gloria E Phillips-Wren
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Information Overload ◽  
Support Systems ◽  
Distributed Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems

Internet-based, distributed systems have become essential in modern organizations. When combined with artificial intelligence (AI) techniques such as intelligent agents, such systems can become powerful aids to decision makers. These newer intelligent systems have extended the scope of traditional decision support systems (DSSs) to assist users with real-time decision making, multiple information flows, dynamic data, information overload, time-pressured decisions, inaccurate data, difficult-to-access data, distributed decision making, and highly uncertain decision environments. As a class, they are called intelligent decision support systems (IDSSs).

Intelligent Agents in Decision Support Systems

2011 ◽  
pp. 505-513 ◽  
Author(s):  
Gloria E. Phillips-Wren
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Information Overload ◽  
Support Systems ◽  
Distributed Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems

Internet-based, distributed systems have become essential in modern organizations. When combined with artificial intelligence (AI) techniques such as intelligent agents, such systems can become powerful aids to decision makers. These newer intelligent systems have extended the scope of traditional decision support systems (DSSs) to assist users with real-time decision making, multiple information flows, dynamic data, information overload, time-pressured decisions, inaccurate data, difficult-to-access data, distributed decision making, and highly uncertain decision environments. As a class, they are called intelligent decision support systems (IDSSs).

scholarly journals Usage of the Agent-Service Approach for the Development of Intelligent Decision Support Systems in the Energy Sector

2020 ◽  
Vol 18 (3) ◽  
pp. 5-18
Author(s):  
Vladimir R. Kuzmin ◽  
Yury A. Zagorulko
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Energy Sector ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems ◽  
Intelligent Decision Support

Recently, the concept of intelligent energy systems becomes more popular in Russia. In order to implement such systems, it is required both development and usage of modern information technologies to manage technological infrastructure, and upgrade of this infrastructure. In turn, infrastructure upgrade requires a strategic decision-making for energy sector development. To provide a high quality of such decisions, intellectualization of the process of making them is required. This article deals with usage of agent-service approach for development of intelligent decision support systems (IDSS). Concepts of agent and multiagent system are being considered. Detailed description of agentservice approach and architecture of a typical IDSS, used in this approach, is provided. Also, article considers usage of agent-service approach for development of IDSS “Situation polygon” (for strategic decision-making support in energy sector) and web-oriented information-analytical system WIS (for impact assessment of the energy sector on geoecology). In the future, we plan to add additional functionality in these systems, in particular, to provide in the “Situation polygon” an automatic setting of the values of connections in cognitive maps based on the values of connections in the ontology, and to add in WIS the possibility of calculating the trajectory of the transfer of harmful substances.

scholarly journals GIS BASED DECISION SUPPORT SYSTEM FOR SEISMIC RISK IN BUCHAREST. CASE STUDY – THE HISTORICAL CENTRE

2016 ◽  
Vol 21 (3) ◽  
Author(s):  
GHEORGHE DIANA ◽  
ARMAS IULIANA
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Decision Maker ◽  
Seismic Risk ◽  
Decision Problem ◽  
Support Systems ◽  
Decision Making Process ◽  
Spatial Decision Support ◽  
Historical Centre

Because of the increasing volume of information, problem decisions tend to be more difficult to deal with. Achieving an objective and making a suitable decision may become a real challenge. In order to better deal with decision making, decision support systems (DSS) have been developed. The decision support systems (DSS) can be used in any kind of a decision-making process and are very suitable in situations that involve a lot of stakeholders and a large number of criteria. DSS offers support in the decision-making process (<em>how</em> a decision should be made), and it does not focus on the result (<em>what</em> decision that should be made). DSS can also involve a large number of stakeholders and criteria, in the same time. A limitation of this method is that, regardless of the mathematical results, the final decision has to be made by the decision maker. Depending on the nature of the decision problem, a decision maker can use decision support systems (DSS), if the decision problem is economic or technical, and spatial decision support systems (SDSS), if the decision maker is faced with a spatial decision problem. The main objective of the present study is to apply a spatial decision support system in order to find a suitable shelter in the historical centre of Bucharest City in the post-disaster phase, in case of an earthquake occurrence. The present work represents a first step in applying SDSS in the context of the seismic risk in Bucharest. For the present paper, the SMCE Module for ILWIS 3.4 was used. The method included the following steps: structuring the problem in a decision tree, applying standardization and weighting methods to the criteria, finding suitable alternatives and choosing one of the alternatives. The results show that several buildings can be used as a shelter and among these are ‘Creditul Roman’ Bank Palace, the National History Museum and the National Bank of Romania.

AGENT-ORIENTED METASYNTHETIC ENGINEERING FOR DECISION MAKING

2003 ◽  
Vol 02 (02) ◽  
pp. 197-215 ◽  
Author(s):  
L. B. CAO ◽  
R. W. DAI
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Support Systems ◽  
Fundamental Problem ◽  
Software Systems ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Decision making plays a more and more important role in present society, especially in dealing with open complex giant systems, such as macroeconomic decision making. A feasible and effective approach for dealing with the increasingly remarkable decision making problems, in particular open complex giant systems, is to construct a Hall for Workshop of Metasynthetic Engineering (HWME), which is essentially an open giant intelligent decision support system in itself. On the other hand, the emergent agent technology is proposed and popularized as a new computing paradigm for building complex software systems. In this paper, we first briefly introduce the principle of metasynthetic engineering and the HWME in terms of decision support, and propose the network-based hierarchical model of an HWME. Furthermore, we discusse the design idea of agent-oriented metasynthetic engineering for decision support systems. We discuss the design scheme, the framework and the working mechanism of an HWME based on intelligent agents in Java which took the macroeconomic decision making as an instance. In addition, we further examine the fundamental problem of designing agent-oriented open giant intelligent decision support systems. The suitability and challenges of the present agent-oriented abstractions for open giant intelligent systems are further analyzed. Then, we propose the concept of societal abstraction for agent-oriented open giant intelligent systems, which is based on the following hypothesis: a unified mechanism — societal interactions, organizational schemes and component patterns, and multi-agent society. Our preliminary study reveals that the agent-oriented metasynthetic engineering is valid and powerful for decision making of open complex giant systems.

scholarly journals SISTEM INFORMASI PENILAIAN KINERJA PEGAWAI PADA KANTOR KECAMATAN SUKODADI DI KABUPATEN LAMONGAN DENGAN METODE AHP DAN BOOTSTRAP

2017 ◽  
Vol 9 (2) ◽  
pp. 12
Author(s):  
Sundiya Eryfa Diana ◽  
M Hasan Wahyudi ◽  
M Ghofar Rohman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Employee Performance ◽  
Decision Makers ◽  
Decision Making Process ◽  
Systematic Data ◽  
Manual Calculation

So far, the employee performance assessment at the office of sukodadi sud district in lamongan regency is conducted by the appraisal officer in coordination with the Head Office. Previously was done manual calculation without using a system. The calculation carried out in the form of determination of eligibility fulfillment of promotion of employee. Decision support systems can assist in determining assessments of employee work for the purpose of regular promotion by using a method. The existence method can be used in decision support systems such as Analytical Hierarchi Process (AHP). Systematic and appropriate in the decision-making process that is able to show the value of the competence of employees in accordance with the criteria established by the Office or decision makers based on systematic data analysis for the purpose of promotion of regular.

scholarly journals GIS BASED DECISION SUPPORT SYSTEM FOR SEISMIC RISK IN BUCHAREST. CASE STUDY – THE HISTORICAL CENTRE

2015 ◽  
Vol 21 (3) ◽  
pp. 35-42
Author(s):  
DIANA GHEORGHE ◽  
IULIANA ARMAS
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Decision Maker ◽  
Seismic Risk ◽  
Decision Problem ◽  
Support Systems ◽  
Decision Making Process ◽  
Spatial Decision Support ◽  
Historical Centre

Because of the increasing volume of information, problem decisions tend to be more difficult to deal with. Achieving an objective and making a suitable decision may become a real challenge. In order to better deal with decision making, decision support systems (DSS) have been developed. The decision support systems (DSS) can be used in any kind of a decision-making process and are very suitable in situations that involve a lot of stakeholders and a large number of criteria. DSS offers support in the decision-making process (how a decision should be made), and it does not focus on the result (what decision that should be made). DSS can also involve a large number of stakeholders and criteria, in the same time. A limitation of this method is that, regardless of the mathematical results, the final decision has to be made by the decision maker. Depending on the nature of the decision problem, a decision maker can use decision support systems (DSS), if the decision problem is economic or technical, and spatial decision support systems (SDSS), if the decision maker is faced with a spatial decision problem. The main objective of the present study is to apply a spatial decision support system in order to find a suitable shelter in the historical centre of Bucharest City in the post-disaster phase, in case of an earthquake occurrence. The present work represents a first step in applying SDSS in the context of the seismic risk in Bucharest. For the present paper, the SMCE Module for ILWIS 3.4 was used. The method included the following steps: structuring the problem in a decision tree, applying standardization and weighting methods to the criteria, finding suitable alternatives and choosing one of the alternatives. The results show that several buildings can be used as a shelter and among these are ‘Creditul Roman’ Bank Palace, the National History Museum and the National Bank of Romania.

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