scholarly journals Structure of the Decision Support System in the Development of Software Products

2021 ◽  
Vol 3 (4) ◽  
pp. 258-269
Author(s):  
Milena Shitova ◽  
Sergey Ovanesyan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Expert Knowledge ◽  
Computing System ◽  
Point Of View ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Software Products ◽  
Software Product

This study examined the problems of calculating the time to create a software product using the example of the company "RKIT" LLC. The article discussed the analysis of the most effective, from the point of view of the authors, methods for assessing the complexity of projects. As a result of the review, the authors suggested to create a decision support system. This system will consist of two blocks: an automated information computing system based on the PERT method and an artificial intelligence system in the form of an expert system, which is a repository of expert knowledge. The creation of a DSS will reduce the time for experts to make decisions and reduce the likelihood of a decrease in the profitability of the project, which will lead to an increase in the company's profit.

scholarly journals On the alternative approaches to stability analysis in decision support for damaged passenger ships

2019 ◽  
Vol 18 (3) ◽  
pp. 477-494 ◽  
Author(s):  
Pekka Ruponen ◽  
Petri Pennanen ◽  
Teemu Manderbacka
Keyword(s):  
Decision Support ◽  
Stability Analysis ◽  
Decision Support System ◽  
Support System ◽  
Point Of View ◽  
Additional Information ◽  
Damage Stability ◽  
Passenger Ships ◽  
Minimum Requirements ◽  
The Stability

Abstract A decision support system with damage stability analysis has been recognized as an important tool for passenger ships. Various software applications have been developed and taken into use over the years, without a direct link to any compelling requirement, set forth in the international regulatory framework. After the Costa Concordia accident, new regulations have been established, setting minimum requirements for a decision support system, as an extension to a loading computer. Yet, more advanced systems have been developed recently, aiming at providing valuable additional information on the predicted development of the stability of the damaged ship. This paper presents these alternative decision support systems with damage stability analysis methods for flooding emergencies on passenger ships. The technical background, usability, and usefulness of the various approaches are compared and discussed, taking into account the important statutory approval point of view. In addition, practical examples, including past accidents, are presented and discussed.

scholarly journals Development of a model for choosing strategies for investing in information security

2021 ◽  
Vol 2 (3 (110)) ◽  
pp. 43-51
Author(s):  
Valeriy Lakhno ◽  
Volodimir Malyukov ◽  
Berik Akhmetov ◽  
Dmytro Kasatkin ◽  
Liubov Plyska
Keyword(s):  
Decision Support ◽  
Information Security ◽  
Decision Support System ◽  
Support System ◽  
New Class ◽  
Modular Software ◽  
Proposed Model ◽  
Software Product ◽  
Continue Research ◽  
Multidimensional Objects

This paper has proposed a model of the computational core for the decision support system (DSS) when investing in the projects of information security (IS) of the objects of informatization (OBI). Including those OBI that can be categorized as critically important. Unlike existing solutions, the proposed model deals with decision-making issues in the ongoing process of investing in the projects to ensure the OBI IS by a group of investors. The calculations were based on the bilinear differential quality games with several terminal surfaces. Finding a solution to these games is a big challenge. It is due to the fact that the Cauchy formula for bilinear systems with arbitrary strategies of players, including immeasurable functions, cannot be applied in such games. This gives grounds to continue research on finding solutions in the event of a conflict of multidimensional objects. The result was an analytical solution based on a new class of bilinear differential games. The solution describes the interaction of objects investing in OBI IS in multidimensional spaces. The modular software product "Cybersecurity Invest decision support system " (Ukraine) for the Windows platform is described. Applied aspects of visualization of the results of calculations obtained with the help of DSS have been also considered. The Plotly library for the Python algorithmic language was used to visualize the results. It has been shown that the model reported in this work can be transferred to other tasks related to the development of DSS in the process of investing in high-risk projects, such as information technology, cybersecurity, banking, etc.

scholarly journals KNOWLEDGE BASED DECISION SUPPORT SYSTEM FOR BUILDING REFURBISHMENT

2005 ◽  
Vol 11 (3) ◽  
pp. 176-182 ◽  
Author(s):  
Artūras Kaklauskas ◽  
Andrius Gulbinas
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Point Of View ◽  
Integrated System ◽  
Knowledge Based ◽  
Building Refurbishment ◽  
Modelling Techniques ◽  
Access To Data

The need to effectively integrate decision‐making tasks (such as interactive access to data and support for numerical and quantitative modelling techniques) together with the knowledge representation and visualisation tasks and inference procedures that model an expert's thought process has provoked research efforts to integrate decision support systems (DSS) with knowledge and expert systems (ES), neural networks and multimedia towards the formulation of intelligent DSS. We can analyse the intelligent DSS as a network of distributed systems (DSS, ES, neural networks, etc.) each of them facing and solving a specific problem. Under this point of view different systems can be integrated in the integrated system. Knowledge based decision support system for building refurbishment developed in Vilnius Gediminas Technical University is described in the paper in order to describe the above systems integration.

Concepts for the Design of a Manager-Centric Global Decision Support System for Organizations

Crowdsourcing ◽  
2019 ◽  
pp. 285-299
Author(s):  
Paulo Garrido
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Decision Process ◽  
Point Of View ◽  
Decision Taking

The goal of this chapter is to describe a set of concepts for the design of information systems supporting the global decision process in an organization from a management point of view. Managers are responsible for decisions that are crucial for the success of the organization. Supporting decision taking by management in an integrated way means to support the global decision process of the organization and increase its efficiency and resilience. The system is envisaged so that i) each manager has available a decision dashboard to support the flux of decision-making for which he or she is responsible; ii) the dashboards also allow managers to crowdsource from non-managers different aspects of decision iii) the dashboards are connected in a conversational network; iv) this conversational network is so structured to support the global decision process of the organization.

Concepts for the Design of a Manager-Centric Global Decision Support System for Organizations

2015 ◽  
pp. 173-187 ◽  
Author(s):  
Paulo Garrido
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Decision Process ◽  
Point Of View ◽  
Decision Taking

The goal of this chapter is to describe a set of concepts for the design of information systems supporting the global decision process in an organization from a management point of view. Managers are responsible for decisions that are crucial for the success of the organization. Supporting decision taking by management in an integrated way means to support the global decision process of the organization and increase its efficiency and resilience. The system is envisaged so that i) each manager has available a decision dashboard to support the flux of decision-making for which he or she is responsible; ii) the dashboards also allow managers to crowdsource from non-managers different aspects of decision iii) the dashboards are connected in a conversational network; iv) this conversational network is so structured to support the global decision process of the organization.

Expert knowledge elicitation for decision-making in home energy retrofits

2014 ◽  
Vol 32 (5) ◽  
pp. 377-395 ◽  
Author(s):  
Daniel Yaw Addai Duah ◽  
Kevin Ford ◽  
Matt Syal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Expert Knowledge ◽  
Knowledge Elicitation ◽  
Content Type ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Purpose – The purpose of this paper is to develop a knowledge elicitation strategy to elicit and compile home energy retrofit knowledge that can be incorporated into the development of an intelligent decision support system to help increase the uptake of home energy retrofits. Major problems accounting for low adoption rates despite well-established benefits are: lack of information or information in unsuitable and usable format for decision making by homeowners. Despite the important role of expert knowledge in developing such systems, its elicitation has been fraught with challenges. Design/methodology/approach – Using extensive literature review and a Delphi-dominated data collection technique, the relevant knowledge of 19 industry experts, selected based on previously developed determinants of expert knowledge and suitable for decision making was elicited and compiled. Boolean logic was used to model and represent such knowledge for use as an intelligent decision support system. Findings – A combination of comprehensive knowledge elicitor training, Delphi technique, semi-structured interview, and job shadowing is a good elicitation strategy. It encourages experts to describe their knowledge in a natural way, relate to specific problems, and reduces bias. Relevant and consensus-based expert knowledge can be incorporated into the development of an intelligent decision support system. Research limitations/implications – The consensus-based and relevant expert knowledge can assist homeowners with decision making and industry practitioners and academia with corroboration and enhancement of existing knowledge. The strategy contributes to solving the knowledge elicitation challenge. Originality/value – No previous study regarding a knowledge elicitation strategy for developing an intelligent decision support system for the energy retrofit industry exists.

Fujitsu HIKARI, a Healthcare Decision Support System based on Biomedical Knowledge

2018 ◽  
Vol 6 (2) ◽  
pp. 26-49
Author(s):  
Boris Villazon-Terrazas ◽  
Nuria Garcia-Santa ◽  
Beatriz San Miguel ◽  
Angel del Rey-Mejías ◽  
Juan Carlos Muria ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Expert Knowledge ◽  
Care Quality ◽  
Medical Decision ◽  
Knowledge Graph ◽  
Theoretical Knowledge ◽  
Empirical Knowledge ◽  
Biomedical Knowledge

Fujitsu HIKARI is an artificial intelligence solution to assist clinicians in medical decision making, developed in the context of a joint collaboration project between Fujitsu Laboratories of Europe and Hospital Clínico San Carlos. This decision support system leverages on data analytics combined with healthcare semantic information to provide health estimations for patients, improving care quality and personalized treatment. Fujitsu HIKARI stands on the shoulders of biomedical knowledge, which includes (i) theoretical knowledge extracted from scientific literature, domain expert knowledge, and health standards; and (ii) empirical knowledge extracted from real patient electronic health records. The theoretical knowledge combines a theoretical knowledge graph (TKG) and a biomedical document repository (BDR). The empirical knowledge is encoded in an empirical knowledge graph (EKG). One of the main functionalities of Fujitsu HIKARI is the patient mental health risks assessment, which is based on the exploitation of its underlying Biomedical Knowledge.

scholarly journals Decision Support System for Finding an Optimal Postquantum Key Encapsulation Mechanism. Part 2. Prototype Evaluation

2021 ◽  
Vol 7 (4) ◽  
pp. 78-84
Author(s):  
A. Vlasenko ◽  
M. Evsyukov ◽  
M. Putyato ◽  
A. Makaryan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Positive Impact ◽  
Economic Feasibility ◽  
Software Products ◽  
Cryptographic Algorithm ◽  
Key Encapsulation Mechanism ◽  
Efficiency Comparison ◽  
Post Quantum Cryptography

This is the final part of the series of articles devoted to the development of a decision support system for choosing the optimal post-quantum key encapsulation mechanism. Efficiency of the methodology proposed for choosing the optimal implementation of the post-quantum cryptographic algorithm is evaluated and substantiated. The economic feasibility of approach is shown and its positive impact on the quality of the cryptographic information protection subsystem is demonstrated. Efficiency comparison of the prototype of the decision support system with existing software products aimed at supporting decision-making in the field of information security is carried out. The consistency of prototype’s recommendations with the conclusions of analytical studies in the field of post-quantum cryptography is checked.

Sign in / Sign up

Export Citation Format

Share Document