scholarly journals Supporting Decision Making for a Republic Under a Complex System

2016 ◽  
pp. 1-16
Author(s):  
Kuntoro Mangkusubroto ◽  
Dhanan Sarwo Utomo ◽  
Dyah Ramadhani
Keyword(s):  
Complex System ◽  
Decision Making

Interactive Multi-Modal Visualization Environment for Complex System Decision Making

2008 ◽  
Author(s):  
Jung Leng Foo ◽  
Eliot Winer
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Three Dimensional ◽  
Image Data ◽  
Detailed Examination ◽  
Surgical Instruments ◽  
Input Device ◽  
Volume Data ◽  
Evaluation Tool ◽  
Standard Format

Decision making in a complex system requires a large amount of data, and real time interaction and visualization tools become effective solutions. Constant improvement in computer graphics technology has encouraged the research of developing better and more efficient ways of interacting and visualizing complex three-dimensional image data. This paper presents a unique software framework for interacting and visualizing complex volume image data in a virtual environment. For efficient user interactions, a wireless gamepad controller is used as the main input device. The buttons and joysticks on the gamepad controller are intuitively mapped to perform different functions depending on the feature mode that the software is currently in. Apart from the general viewer, an extension of the software also reads in standard format patient medical images such as CT/MRI scans. As an effective decision making tool, the software allows the user to apply fast pseudo-coloring and multiple interactive oblique clipping planes for an immersive detailed examination of any 3D model. In the medical imaging extension of this software, it features the ability for the user to select a specific range of tissue densities to render and an endosurgery planning mode that allows a surgeon to place simulated laparoscopic surgical instruments in a virtual model of the patient. The developed software allows for better interaction with complex volume data for use as a decision making and evaluation tool.

Preferences, Utility, and Stochastic Approximation

2018 ◽  
pp. 2188-2199
Author(s):  
Yuri P. Pavlov ◽  
Rumen D. Andreev
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Utility Function ◽  
Stochastic Approximation ◽  
Mathematical Description ◽  
Innovative Approach ◽  
Precise Information ◽  
A Value ◽  
Active Assistance

A complex system with human participation like “human-process” is characterized with active assistance of the human in the determination of its objective and in decision-taking during its development. The construction of a mathematically grounded model of such a system is faced with the problem of shortage of mathematical precise information that presents the human activity. A solution of this problem is to seek expression of different aspects of the complex system through description of the expert's preferences as an element of the system. The presentation of human preferences analytically with utility functions is an approach for their mathematical description. The objective of the article is to present an innovative approach to value driven modeling of management that bases on preference-oriented decision making. It is described a decision technology that realizes measurement of human's preferences as analytic utility function. The utility theory and stochastic approximation are possible solution of this problem that results in a value-based approach to modeling of complex systems.

Development of Multilayer Situation Decision Support System and its Applications

2010 ◽  
Vol 121-122 ◽  
pp. 872-877
Author(s):  
Hou Chong Wan
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Economic System ◽  
Support System

In the paper, the multi-layer situation decision-making method of complex system is firstly introduced. Then, the development of the multilayer situation decision support system is put forward. At last, as a test example and an application, we use the MSDSS to achieve the optimization of the economic system in China.

Understanding the Impact of Decision Making on Robustness During Complex System Design: More Resilient Power Systems

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Joseph R. Piacenza ◽  
Kenneth John Faller ◽  
Mir Abbas Bozorgirad ◽  
Eduardo Cotilla-Sanchez ◽  
Christopher Hoyle ◽  
...  
Keyword(s):  
Complex System ◽  
Decision Making ◽  
System Design ◽  
Robust Design ◽  
System Performance ◽  
System Level ◽  
Individual Risk ◽  
Cascading Failure ◽  
The Impact ◽  
Complex System Design

Abstract Robust design strategies continue to be relevant during concept-stage complex system design to minimize the impact of uncertainty in system performance due to uncontrollable external failure events. Historical system failures such as the 2003 North American blackout and the 2011 Arizona-Southern California Outages show that decision making, during a cascading failure, can significantly contribute to a failure's magnitude. In this paper, a scalable, model-based design approach is presented to optimize the quantity and location of decision-making agents in a complex system, to minimize performance loss variability after a cascading failure, regardless of where the fault originated in the system. The result is a computational model that enables designers to explore concept-stage design tradeoffs based on individual risk attitudes (RA) for system performance and performance variability, after a failure. The IEEE RTS-96 power system test case is used to evaluate this method, and the results reveal key topological locations vulnerable to cascading failures, that should not be associated with critical operations. This work illustrates the importance of considering decision making when evaluating system level tradeoffs, supporting robust design.

scholarly journals Waste treatment company decision-making in a complex system of markets influenced by the circular economy

2021 ◽  
pp. 129672
Author(s):  
Stien Snellinx ◽  
Jef Van Meensel ◽  
Siavash Farahbakhsh ◽  
Liselot Bourgeois ◽  
Anouk Mertens ◽  
...  
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Circular Economy ◽  
Waste Treatment

scholarly journals Inclusion of uncertainty with different types of fuzzy numbers into DEMATEL

2021 ◽  
Vol 16 (1) ◽  
pp. 49-59
Author(s):  
Tjaša Šmidovnik ◽  
Petra Grošelj
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Fuzzy Sets ◽  
Construction Projects ◽  
Fuzzy Numbers ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Different Types

Nowadays the multi-criteria decision making is very complicated due to uncertainty, vagueness, limited sources, knowledge and time. The Decision-making Trial and Evaluation Laboratory (DEMATEL) method is a widely used multi-criteria decision-making method to analyze the structure of a complex system. It is useful in analysing the cause and effect relationships between the components of the system. Fuzzy sets can be used to include uncertainty in multi-criteria decision making. Linguistic assessments of decision makers can be translated into fuzzy numbers. In this study, fuzzy numbers, intuitionistic fuzzy numbers and neutrosophic fuzzy numbers were used for the decision makers evaluations in the DEMATEL method. The aim of this study was to evaluate how different types of fuzzy numbers affect the final results. An application of risk in construction projects was selected from the literature, where seven experts used a linguistic scale to evaluate different criteria. The results showed that there are only slight differences between the weights of the criteria with regard to the type of fuzzy numbers.

scholarly journals Technology of Implementation of the Complex System of Economic Planning and Management of Economic Entity

Vestnik NSUEM ◽  
2019 ◽  
pp. 244-255
Author(s):  
E. Yu. Vinogradova ◽  
A. I. Galimova ◽  
S. L. Andreeva
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Information System ◽  
Information Technologies ◽  
Economic Planning ◽  
Subject Field ◽  
Economic Entity ◽  
Planning And Management ◽  
Scientific Representations

In article describes main metodological principles of designing of information system for realization of support of decision-making by a management of managing subjects. Also in the article describers ordering of modern scientific representations about intellectual information technologies in a context of allocation of a subject field of their application.

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