A Software Package Supporting Decision Making on the Safety of Thermolabile Blood Components

2022 ◽  
Author(s):  
O. O. Varlamov ◽  
D. A. Chuvikov ◽  
V. N. Lemondzhava ◽  
A. G. Gudkov ◽  
D. V. Aladin ◽  
...  
Keyword(s):  
Decision Making ◽  
Software Package ◽  
Blood Components

INTEGRATING SCAT DATA AND GEOGRAPHICAL INFORMATION SYSTEMS TO SUPPORT SHORELINE CLEANUP OPERATIONS

1997 ◽  
Vol 1997 (1) ◽  
pp. 499-506 ◽  
Author(s):  
Alain Lamarche ◽  
Edward H. Owens
Keyword(s):  
Decision Making ◽  
Information System ◽  
Data Analysis ◽  
Data Collection ◽  
Software Package ◽  
Geographical Information Systems ◽  
Data Entry ◽  
Decision Makers ◽  
Geographical Information ◽  
Gis Technology

ABSTRACT An analysis of the work performed by the various teams involved in shoreline cleanup operations has been applied to the design of an approach for the integration of data collected by the SCAT process with electronic maps produced by geographical information system (GIS) technology. This has led to the implementation of a PC-based system that incorporates a database of SCAT information, a knowledge base on oil behavior and shoreline cleanup, and a GIS. The system provides support to data collection using the SCAT approach for field teams and to map-based data analysis for planners and managers. In the course of this work, a set of the maps that are considered the most useful for summarizing information about shoreline conditions was designed and evaluated. This evaluation initially involved consultation with individuals experienced in shoreline cleanup. The applicability of the map representation for decision making was further tested during spill drills. SCAT surveys generate a large volume of data that need to be captured and integrated. There is a risk that this large amount of information might overwhelm decision makers involved in the management of shoreline cleanup operations. The paper describes the various modifications that were made to the SHORECLEAN software package to provide some solutions to these problems. These include providing specialized SCAT data entry forms, automating the links between a SCAT database and a GIS, and producing map representations that provide clear, useful, and nonmisleading information for decision makers.

scholarly journals A flexible framework for simulating and fitting generalized drift-diffusion models

2020 ◽  
Author(s):  
Maxwell Shinn ◽  
Norman H. Lam ◽  
John D. Murray
Keyword(s):  
Decision Making ◽  
Diffusion Model ◽  
Cognitive Neuroscience ◽  
Software Package ◽  
Planck Equation ◽  
Experimental Designs ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Flexible Framework ◽  
Decision Making Model

AbstractThe drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce the generalized drift-diffusion model (GDDM) framework for building, simulating, and fitting DDM extensions, and provide a software package which implements the framework. The GDDM framework augments traditional DDM parameters through arbitrary user-defined functions. Models are simulated numerically by directly solving the Fokker-Planck equation using efficient numerical methods, yielding a 100-fold or greater speedup over standard methodology. This speed allows GDDMs to be fit to data using maximum likelihood on the full response time (RT) distribution. We show that a GDDM fit with our framework explains a classic open dataset with better accuracy and fewer parameters than several DDMs implemented using the latest methodology. Overall, our framework will allow for decision-making model innovation and novel experimental designs.

scholarly journals Iterative Filling and Updating of Information When Managing a Hierarchical Database

2020 ◽  
Vol 10 (2) ◽  
pp. 93-101
Author(s):  
T.I. Korotkova ◽  
A.A. Mokhov
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Optimal Control ◽  
Complex Systems ◽  
Hierarchical Structure ◽  
Software Package ◽  
Database Management ◽  
Amount Of Information ◽  
The Hierarchical Structure ◽  
Decision Making System

The choice of optimal control in complex systems involves handling large amounts of information. The database of such a decision-making system has a hierarchical structure. The article describes the principle of filling and updating information when managing a hierarchical database of a complex system in the presence of uncertain factors. Uncertain factors are present in the criteria for the effectiveness of a complex system and in the criteria for its subsystems. The hierarchical structure of the decision-making system has a level of coordination of decisions of local subsystems. Coordination in a complex system is carried out with a step of discreteness. This allows you to use the iterative principle of filling the database and updating it. Uncertainty conditions significantly increase the amount of information processed. As a result, a hierarchical software package for database management is built.

scholarly journals A Decision-making Tool for Demand Forecasting of Blood Components

2012 ◽  
Vol 45 (6) ◽  
pp. 1499-1504 ◽  
Author(s):  
Oscar S. Silva Filho ◽  
W. Cezarino ◽  
Giselle R. Salviano
Keyword(s):  
Decision Making ◽  
Demand Forecasting ◽  
Blood Components ◽  
Decision Making Tool

scholarly journals A Pythagorean Cubic Fuzzy Methodology Based on TOPSIS and TODIM Methods and its Application to Software Selection Problem

2021 ◽  
Author(s):  
Sukran Seker ◽  
Cengiz Kahraman
Keyword(s):  
Decision Making ◽  
Operations Management ◽  
Software Package ◽  
Selection Process ◽  
Real Life ◽  
Fuel Oil ◽  
Multi Criteria Decision Making ◽  
Software Selection ◽  
Topsis Technique ◽  
Oil Company

Abstract Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision making (MCDM) method to select the most effiecient vendor-supplied software package which is used in all business activities for planning or designing, organizing, and supervising functions by operations management of a fuel oil company operated in Turkey. The proposed method is a hybridization of two well-known MCDM approaches, namely TODIM (an acronym in Portuguese for Interactive and Multi criteria Decision Making) and TOPSIS (technique for order preference by similarity to an ideal solution) using Pythagorean cubic fuzzy sets (PCFS) to manage uncertainty, subjectivity and bias of decision makers (DMs). To prove the efficiency and applicability of the proposed method, a real life application to select best software package for fuel oil company, is conducted. Finally, a sensitivity and comparison analyses are carried out to verify validity and stability of the results obtained by the proposed approach.

An Examination of an ERP Software Selection Process

2011 ◽  
pp. 92-113
Author(s):  
David Sammon ◽  
Daivd Lawlor
Keyword(s):  
Decision Making ◽  
Software Package ◽  
Selection Process ◽  
Decision Making Process ◽  
Functional Requirements ◽  
Software Selection ◽  
World Class ◽  
Erp Software ◽  
The Right

In this chapter a case study of a world-class manufacturing organisation implementing SAP is purposefully used to demonstrate the influence of bias over requirements in the decision making process. Furthermore, this research highlights the difficulties in determining if the ERP package selected by an organisation is in fact the right software package, to fulfil the functional requirements of the organisation.

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