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EN
The article presents the functionality of preference modelling for purposes of the multi-methodical, multi-criteria decision analysis implemented in the computerised decision support system. Research results can be considered through the prism of preference: authoritatively determined by the decision maker or democratically by the group of beneficiaries and from the perspective of scientific views of the council of experts. Preferences in the system can be determined using several different methods.
Organizacija
|
2015
|
vol. 48
|
issue 3
198-202
EN
Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.
EN
This paper presents the results of the analysis of labour resources in the sample manufacturing company. The process consisted of: scheduling, grouping and assessment of personnel taking into account the criteria and preferences of executives. Solutions were obtained using the decision support system DSS 2.0.
EN
Nowadays, the requirements and expectations of universities are increasing along with globalization. The functions of Research and Development and the doctorate programmes which aim to support education and train the academic staff, came to the fore with globalization. The doctorate programmes in European countries cannot be updated fast enough and quotas for these programs are insufficient in some regions – faster balancing seems to be the must. The Decision Support System (DSS) can be a solution to the problem. In this study, the candidates’ demand of the universities, the public-private organizations and R&D centres are included to a model. As a result DSS will help us identify the need for candidates and develop PhD planning strategies by analysing the current situation of the university policies through the innovative model balancing the supply-demand for PhD candidates – including formulae of doctorate implementation (recently introduced in Poland).
EN
The paper presents the module of competence management of experts that has been developed for computer decision support system (DSS 2.0). At the top of the hierarchical structure of the model is the European standard of core competencies, the decomposition of which allows the mapping of different specializations. The flexible structure of information competence module allows defining any set (profile) of qualifications of experts and the strength of their impact in solving specific problems of decision-making
EN
This paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.
EN
In recent years, there has been a significant increase in threats to children’s safety in cyberspace. The most serious of these include children’s participation in illegal online activities and the production of sexually explicit content involving them. Therefore, it is of fundamental importance to build awareness of cyber threats among our society’s youngest members and teach them skills for the safe use of products and services assigned to cyberspace. A key action for effectively protecting children in this environment is the early detection and reporting to the relevant authorities of illegal behavior and child abuse content. Teams such as Dyżurnet.pl, whose tasks currently include responding to potentially illegal content reported by cyberspace users, and in the near future, possibly also conducting proactive activities in this area, play an important role here. The experience of Dyżurnet.pl clearly shows that effective detection of such content requires automation of activities and appropriate IT tools. This paper presents a novel network monitoring and decision support system using artificial intelligence methods, including deep learning, to automatically detect potentially harmful material, such as Child Sexual Abuse Material (CSAM), erotic content involving children, pornographic content with a created or processed image of a child and pornography involving adults.
PL
W artykule skoncentrowano się na ukazaniu praktycznych aspektów prowadzonych badań naukowo-inżynierskich związanych z integracją metody AHP i ELECTRE TRI w informatycznym systemie wspomagania decyzji. W architekturze systemu DSS ujęto algorytmy obu metod. Działają one na wspólnym zbiorze obiektów (wariantów decyzyjnych), które można uporządkować (AHP) oraz przydzielić do zdefiniowanych grup (ELECTRE TRI). W części końcowej opracowania zilustrowano funkcjonalność metod w formie studium przypadku, generując rozwiązania decyzyjne przy użyciu opracowanego prototypu DSS 2.0.
EN
The article is a continuation of research that includes the review and functional analysis of quantitative methods within MCDA for designing needs of an information system supporting decisions (the article was published in a previous edition of the Magazine as part I). The aim of the part II is to show practical aspects of conducted research connected with integration of AHP and ELECTRE TRI methods with their application. Research was conducted in a form of studies over decision solutions that were conducted with the use of prepared system of DSS class (prototype version DSS 2.0). Methods work in the common set of objects that may be put in order (AHP) and devote to defined groups (ELECTRE TRI).
EN
In the paper the existing approaches for improving abovementioned collaboration processes, technologies and methodologies based on efficient methods of optimization and decision making, modern computer-based systems and Internet opportunities are been discussed. The main contribution of the authors in this paper is a structure of computerized decision making system (CDMS) which can help partners from education and industry to find the best model of university – IT-company consortia from proposed set of efficient models A1, A2, B, C and their rational combinations.
PL
Artykuł zawiera opis ważniejszych rozwiązań metodycznych (szkoły amerykańskiej, europejskiej i polskiej) zastosowanych do budowy informatycznego systemu wspomagania decyzji oraz autorskie rozwiązania z zakresu integracji tych metod. W pracy weryfikuje się pogląd, że budowa systemu informatycznego wspomagania decyzji, oparta na wykorzystaniu architektury budowy zadań WPL, dobrze systematyzuje zasoby danych i ułatwia wszechstronniejsze korzystanie z tych zasobów przez inne zinformatyzowane metody i techniki wspomagania decyzji.
EN
The article includes a description of major methodological solutions (of the American, European and Polish schools) applied for construction of the IT decision support system (DSS) and the authors’ solutions in the field of these methods integration. In their study, the authors verify the view that construction of the IT decision support system, based on the use of the architecture of construction of tasks of the multi-criterial linear optimisation (WPL), well systemises stocks of data and facilitates a comprehensive use of those stocks by other IT-based methods and techniques of decision-making support.
RU
Статья содержит описание важнейших методических решений (американской, европейской и польской школ), примененных для построения инфрматической системы поддержки принятия решений, а также авторские решения из области интеграции этих методов. В работе проверяется мнение, что построение информатической системы поддержки принятия решений, основанное на использовании архитектуры построения заданий многокритериальной линейной оптимизации, хорошо систематизирует наборы данных и облегчает более всестороннее пользование этими наборами другими информатизированными методами и техниками поддержки принятия решений.
PL
Zanieczyszczenie środowiska jest jednym z poważniejszych problemów współczesnego świata. Źródłem powstawania ponadnormatywnych emisji i dużej ilości niezagospodarowanych odpadów jest niewłaściwe zarządzanie cyklem życia wyrobu (LCA) oraz niewłaściwe wyważenie ekologicznych, ekonomicznych oraz społecznych aspektów w zarządzaniu przedsiębiorstwami branży chemicznej. W poniższym opracowaniu przedstawiono sposób umożliwiający przezwyciężenie tego problemu przez zaprojektowanie modelu informatycznego systemu wspomagającego decyzje z uwzględnieniem LCA, przeznaczonego do wdrożenia w przedsiębiorstwach chemicznych.
EN
Environmental pollution is the one of the most important problems of the contemporary world. At the source of making the excessive number of wastes is lack of proper management of life cycle assessment (LCA) and lack of balancing between economic, ecologic and social aspects in particular in the chemistry enterprises management practices. In the paper the ways of concatenation of the mentioned items by the implementation of informatics decision-making aid system in chemistry enterprises are discussed.
EN
The paper aims to present the project prototyping problem for the software projects that are at risk of failure, in terms of Constraints Satisfaction Problems (CSP). The declarative structure of model connects two fields: functionalities of enterprise and project management. The functionalities as CSP are described. CSP contains the sets of decision variables, their domains and constraints that link these variables. The open structure of model enables to solve the decision problems with different level of specificity. The decision problem can regard a query about the results of proposed decisions as well as the decisions guaranteeing the expected results. A declarative kind of proposed model in a natural way allows implementing its in constraint programming languages.The possibility of this approach illustrates an example.
PL
Celem pracy jest przedstawienie problemu wariantowania przedsięwzięć informatycznych zagrożonych niepowodzeniem w aspekcie Problemu Spełnienia Ograniczeń (PSO). Deklaratywna struktura modelu wiąże obszary funkcjonalności przedsiębiorstwa oraz realizowanego w nim projektu. Wymienione obszary funkcjonalności modelowane są w postaci PSO, zawierają one zbiory zmiennych decyzyjnych, rodziny zbiorów dziedzin tych zmiennych oraz zbiory ograniczeń wiążących te zmienne. Otwarta struktura modelu pozwala rozwiązywać problemy decyzyjne różnego poziomu szczegółowości, i to związane z pytaniami zarówno o skutki zakładanych decyzji, jak i o decyzje gwarantujące oczekiwane skutki. Deklaratywny charakter proponowanego modelu w naturalny sposób pozwala implementować go w środowiskach programowania z ograniczeniami. Możliwości tego typu ilustruje załączony przykład.
PL
W artykule przedstawiono podejście ukierunkowane na zintegrowanie wiedzy o procesach gospodarczych w systemach wspomagania decyzji (Decision Suport Systems). Dotyczy to dwóch głównych aspektów systemu, tj. sformalizowania procesów predefiniowanych w modelowaniu procesów (Business Process Modeling Notation) oraz wykorzystania ontologii dziedzinowej w analizie informacji finansowych. Niniejszy projekt wpisuje się w program prac badawczych nad stworzeniem podstaw teoretycznych inteligentnych systemów wspomagania decyzji opartych na wiedzy statycznej (strukturalnej) i proceduralnej. Celem opracowania jest zaproponowanie możliwości zastosowania procesowej ontologii do reprezentacji wiedzy w modelach wspomagania decyzji ukierunkowanych na analizę zadłużenia przedsiębiorstwa. Wiedza systemu opisana w ontologii zawiera podstawowe pojęcia finansowe i relacje związane z procesami podejmowania decyzji finansowych. Metodyka przyjęta w artykule oparta jest na eksperymencie przeprowadzonym na podstawie rzeczywistych danych finansowych pochodzących ze sprawozdań finansowych przedsiębiorstwa budowlanego. Wyniki badań potwierdzają użyteczność ontologii procesowej we wspieraniu procesów podejmowania decyzji ukierunkowanych na wzmocnienie stabilności finansowej przedsiębiorstw.
XX
The article presents an approach oriented to integration of knowledge of business processes in Decision Support Systems. It concerns two major aspects of the system, i.e. the formalization of processes predefined in Business Process Modelling Notation, and the use of a domain ontology in analysis of financial information. The research project is related to the design of smart decision support systems based on static (structural) and procedural knowledge. The purpose of this paper is to propose a process-based ontological approach to knowledge representation in analytical models focused on debt analysis. The content of the knowledge is focused on essential financial concepts and relationships related to decision-making processes. Methodology adopted in the paper is based on the experiment that was carried out on real financial data extracted from the financial information system in a construction company. Research findings are included in the statement that process ontology may support decision making processes oriented towards enhancing financial stability of the companies.
EN
The paper presents the idea of reference model of project prototyping problem for the projects that are at risk of failure. The hierarchical structure of declarative model connects two fields: functionalities of a typical service enterprise and management system of project execution in the enterprise. The functionalities as separate Constraints Satisfaction Problems (CSP) are described. CSP contains the sets of decision variables, their domains and constraints, which link these variables. The separated problems described as CSP, then in single main CSP are integrated. On the other hand, these problems can decompose into the subproblems concerning the functionalities of different fields. The open structure of model enables to solve the decision problems with different level of specificity. The decision problem can regard a query about the results of proposed decisions as well as the decisions guaranteeing the expected results. A declarative kind of proposed reference model in a natural way allows to implement its in constraint programming languages. The possibility of this approach illustrates an example.
EN
The multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.
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