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Search results for: MULTICRITRIA DECISION ANALYSIS
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Ontological queries supporting decision process in KaSea system
PublicationWraz z rozwojem baz wiedzy pojawiły się systemy ekspertowe, które wykorzystują je do wsparcia procesu podejmowania decyzji. Systemy Wsparcia Decyzyjnego (SWD), które są tematem niniejszego artykułu, komunikują się z bazami wiedzy, wypełniając je znanymi faktami i odczytując nowo wywnioskowane informacje. Jednakże istnieją sytuacje, w których SWD otrzymują niejednoznaczną odpowiedź od bazy wiedzy. Wówczas pojawia się potrzeba określenia,...
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Ontological queries supporting decision process in KaSea system
PublicationWraz z rozwojem baz wiedzy pojawiły się systemy ekspertowe, które wykorzystują je do wsparcia procesu podejmowania decyzji. Systemy Wsparcia Decyzyjnego (SWD), które są tematem niniejszego artykułu, komunikują się z bazami wiedzy, wypełniając je znanymi faktami i odczytując nowo wywnioskowane informacje. Jednakże istnieją sytuacje, w których SWD otrzymują niejednoznaczną odpowiedź od bazy wiedzy. Wówczas pojawia się potrzeba określenia,...
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Toward smart decision support system for martgage market
PublicationZaproponowano rozmyty model inteligentnego wspomagania podejmowania decyzji na rynku kredytowym w Polsce.
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Set of experience : a knowledge structure for formal decision events
PublicationOmówiono strukturę wiedzy w obszarze formalnych zadań decyzyjnych. Zaproponowano zbiór doświadczeń jako podstawę tej struktury.
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Experience based enhanced decision support for business processes
PublicationPrzedstawiono koncepcje wspomagania procesow biznesowych poprzez wprowadzneie do modelu zbioru doswiadczen.
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Mathematical Modeling of Ice Dynamics as a Decision Support Tool in River Engineering
PublicationThe prediction of winter flooding is a complicated task since it is affected by many meteorological and hydraulic factors. Typically, information on river ice conditions is based on historical observations, which are usually incomplete. Recently, data have been supplemented by information extracted from satellite images. All the above mentioned factors provide a good background of the characteristics of ice processes, but are not...
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Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions
PublicationElectrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the heart is measured using electrodes that are attached to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease (CVD) has been in existence for over...
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SafeCity – a GIS-based tool profiled for supporting decision making in urban development and infrastructure protection
PublicationThis paper presents a system for analysis of municipal Critical Infrastructures, which offers integrated tools for target analysis, hazard scenario simulations and spatial analysis within a remotely accessible Web-based Geographic Information System. The system has been applied to research conducted in the city of Gdansk with the aid of blast attack, chemical leakage and flood hazard scenarios, as well as a spatial density algorithm,...
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The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process
PublicationThis paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in...
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The Matter of Decision-Making Control Over Operation Processes of Marine Power Plant Systems with the Use of their Models in the form of Semi-Markov Decision-Making Processes
PublicationThe article presents the possibility to control the real operation process of an arbitrary device installed in the marine power plant based on the four-state semi-Markov process, being the model of the process, which describes the transition process of operational states of the device and the transition process of its technical states. All these states are precisely defined for the ship main engine (SG). A hypothesis is proposed...
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Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
PublicationThe diabetic retinopathy is a disease caused by long-standing diabetes. Lack of effective treatment can lead to vision impairment and even irreversible blindness. The disease can be diagnosed by examining digital color fundus photographs of retina. In this paper we propose deep learning approach to automated diabetic retinopathy screening. Deep convolutional neural networks (CNN) - the most popular kind of deep learning algorithms...
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Fuzzy decision support system for the control of budget and schedule in SPM
PublicationObiektem rozważań jest komputerowy system wspierania decyzji kierowniczych w zakresie zarządzania budżetem i harmonogramem przy realizacji projektów informatycznych. Omawiany system opary jest na dynamicznych modelach rozmytych podlegających bieżącemu dostrajaniu na podstawie danych z obserwacji zarządzanego procesu. Wstępny projekt modeli rozmytych oparty został na danych zarządczych pochodzących z realizacji dwu projektów informatycznych....
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Shared Decision-making and Stakeholder Engagement in COVID-19 Tracheostomy
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A Decision Support System for the Planning of Hybrid Renewable Energy Technologies
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A Novel Framework for Decision Support System in Human Resource Management
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Selected aspects of the evolution of the industry analysis
PublicationPorter's five forces is a significant tool of analysis of industries. It helps evaluating variables of industry profitability and assessing firm performance. Using the framework, managers can take a decision as to which industries they can effectively compete in and position their companies to reduce the adverse effects of the mentioned forces. According to the critics, the five forces model is limited to its static nature. The...
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Limiting distribution of the three-state semi-Markov model of technical state transitions of ship power plant machines and its applicability in operational decision-making.
PublicationThe article presents the three-state semi-Markov model of the process {W(t): t 0} of state transitions of a ship power plant machine, with the following interpretation of these states: s1 – state of full serviceability, s2 – state of partial serviceability, and s3 – state of unserviceability. These states are precisely defined for the ship main engine (ME). A hypothesis is proposed which explains the possibility of application...
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Observation Value Analysis – Integral Part of Bayesian Diagnostics
PublicationThe decision making process, in general, is understood as a process of selecting one of the available solutions to the problem. One of possible approaches supporting the process is Bayesian statistical decision theory providing a mathematical model to make decisions of a technical nature in conditions of uncertainty. Regarding above, a detailed subject of the research is to analyze the value of the observation, which is a part...
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Four Degree-of-Freedom Hydrodynamic Maneuvering Model of a Small Azipod-Actuated Ship With Application to Onboard Decision Support Systems
PublicationThe main contribution of this paper is a numerical ship motion model of NTNU’s research vessel Gunnerus, capturing the surge, sway, roll, and yaw dynamics when sailing in uniform and steady currents. The model utilizes a crossflow drag formulation for the transverse viscous loads, and it includes a nonlinear formulation for the propulsion and steering loads provided by two azipod thrusters. A wide range of experimental data obtained...
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From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdańsk, Poland
PublicationFlood susceptibility prediction is complex due to the multifaceted interactions among hydrological, meteorological, and urbanisation factors, further exacerbated by climate change. This study addresses these complexities by investigating flood susceptibility in rapidly urbanising regions prone to extreme weather events, focusing on Gdańsk, Poland. Three popular ML techniques, Support Vector Machine (SVM), Random Forest (RF), and...
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Decision Support Based on Optimal Collision Avoidance Path and Collision Risk
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Towards a decision support system for maritime navigation on heavily trafficked basins
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Does Obesity Influence Women’s Decision Making about the Mode of Delivery?
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Decision Regret after Laparoscopic Sleeve Gastrectomy—5 Years’ Perspective
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Why they want to be treated in clinical trial -fundamental reasons of patient's decision
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Soft- and hard-decision multiple-model estimators for air traffic control
PublicationAnalizuje się problem śledzenia samolotów cywilnych manewrowania w zapewnianiu kontroli ruchu lotniczego (ATC) systemów za pomocą wielomodelowej (MM) estymacji stanu. Budując odpowiedni zestaw modeli manewrowania można opisać, jak różne manewry wpływają na proces oceny stanu wykonywany przez filtr Kalmana (KF) w oparciu o model ruchu bezmanerwowego. Metodologia ta prowadzi do podsystemu diagnostycznego, który wspiera estymator...
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Significance of technical diagnostics in decision control of combustion engines operation process.
PublicationW artykule scharakteryzowano stochastyczną sytuację eksploatacyjną wynikającą z funkcjonowania silników spalinowych w dowolnym systemie eksploatacyjnym i na tym tle przedstawiono propozycję zastosowania diagnostyki technicznej do sterowania procesem eksploatacji tych silników. Podano także interpretację modelu diagnostycznego w ujeciu semantycznym z uwzględnieniem metod diagnostycznych: klasycznej i uproszczonej, w ktorych dany...
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NP-completeness of convex and weakly convex domiating set decision problems.
PublicationLiczby dominowania wypukłego i słabo wypukłego są nowymi rodzajami liczb dominowania. W tym artykule pokazujemy, że problemy decyzyjne dominowania wypukłegi i słabo wypukłego są NP-zupełne w przypadku grafów dwudzielnych oraz split grafów. Posługując się zmodyfikowanym algorytmem Washalla możemy w czasie wielomianowym określić, czy dany podzbiór wierzchołków grafu jest spójny bądź słabo spójny.
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Ranking decision variants by subjective paird comparisons in cases with incomplete data.
PublicationMetoda porównań parami wykorzystywana jest do szeregowania skończonej,zwykle niewielkiej liczby wariantów decyzyjnych. W metodzie tej ekspert lub grupa ekspertów proszona jest o wyrażenie swojej opinii dotyczącej każdej pary wariantów w postaci względnej preferenecji jednego wariantu nad drugim.Zdarza się jednak często, że ekspert nie jest w stanie ocenić pary lub par wiariantów i mamy wtedy do czynienia z sytuacją...
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Technical diagnostics as a tool in decision control of combustion engines operation process
PublicationW referacie scharakteryzowano stochastyczną sytuację decyzyjną wynikającą z funkcjonowania silników spalinowych w dowolnym systemie eksploatacyjnym i na tym tle przedstawiono propozycje zastosowania diagnostyki technicznej do sterowania procesem eksploatacji tych silników. Podano także interpretacje modelu diagnostycznego w ujęciu semantycznym z uwzględnieniem metod diagnostycznych: klasycznej i uproszczonej, w których dany model...
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Integrated model of development as a basis for decision support system for the urban planning
PublicationW artykule omówiono problemy budowy systemów informacji przestrzennej na potrzeby planowania rozwoju miast z wykorzystaniem technik GIS-u
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Informal employment in Poland: an empirical spatial analysis
PublicationThe main goal of our article is to bridge the gap in the regional analysis of informal employment in Poland and in particular to indicate the propensity for informal work in the working-age population, to test if informal activities are typical for marginalized people (less educated, unemployed, older) and to identify the regional and spatial heterogeneity in the propensity. We use data from the ‘Human Capital Balance 2010–2014’...
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Exploratory analysis and ranking of analytical procedures for short-chain chlorinated paraffins determination in environmental solid samples
PublicationShort-chain chlorinated paraffins are ones of the most recent chemical compounds that have been classified as persistent organic pollutants. They have various applications and are emitted to the environment. Despite the fact, that the content levels of these compounds in the environmental compartments should be monitored, there is still a lack of well-defined and validated analytical procedures, proposed or suggested by the national...
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublicationThis chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...
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Improving automatic surveillance by sound analysis
PublicationAn automatic surveillance system, based on event detection in the video image can be improved by implementing algorithms for audio analysis. Dangerous or illegal actions are often connected with distinctive sound events like screams or sudden bursts of energy. A method for detection and classification of alarming sound events is presented. Detection is based on the observation of sudden changes in sound level in distinctive sub-bands...
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Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches
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An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas
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Multidimensional Feature Selection and Interaction Mining with Decision Tree Based Ensemble Methods
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ENHANCED DECISION PROCESS. PERSPECTIVES AND RISKS FOR THE FRAMEWORK OF SOCIAL PARTICIPATION IN URBAN DESIGN
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Model-Based Decision Support System for the Blast Furnace Charge of Burden Materials
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Decision classification criteria for ADT in burn diagnostics based on in-vivo animal experiments
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Data and knowledge supporting decision-making for the urban Food-Water-Energy nexus
PublicationCities are hubs of innovation and wealth creation, and magnets for an increasing urban population. Cities also face unprecedented challenges in terms of food, water and energy scarcity, and governance and management. Urban environmental issues are no longer problems for experts to address but have become issues of public debate, in which knowledge from multiple sectors is needed to support inclusive governance approaches. Consequently,...
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Conception of interactive information and decision support system for urban and industrial air management
PublicationThis article presents the conception of interactive system for air quality management.
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A comparative analysis of methods and tools for low impact development (LID) site selection
PublicationThe site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision...
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Gaze-tracking based audio-visual correlation analysis employing quality of experience methodology
PublicationThis paper investigates a new approach to audio-visual correlation assessment based on the gaze-tracking system developed at the Multimedia Systems Department (MSD) of Gdansk University of Technology (GUT). The gaze-tracking methodology, having roots in Human-Computer Interaction borrows the relevance feedback through gaze-tracking and applies it to the new area of interests, which is Quality of Experience. Results of subjective...
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Analysis
PublicationNew food products and diverse formulations containing the regulated steviol glycoside(s) as well as Stevia extracts or Stevia leaves have been brought on the global market. The upcoming multitude of such food products, but also their falsification and adulteration, does have impact on food analysis. Robust high-throughput methods that cope with different food matrices are required for food control to ensure food safety. The analysis...
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Finite element modelling of a historic church structure in the context of a masonry damage analysis
PublicationThe paper includes a case study of modelling a real historic church using the finite element method (FEM) based on laser scans of its geometry. The main goal of the study was the analysis of the causes of cracking and crushing of masonry walls. An FEM model of the structure has been defined in ABAQUS. A non-linear dynamic explicit analysis with material model including damage plasticity has been performed. A homogenization procedure...
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Combined thrust radial bearing of a submarine main shaft – Design and analysis of failure
PublicationThis paper presents an analysis of the combined thrust radial bearing of a submarine propulsion shaft. The lubrication system of the bearing is based on a fixed ring. The efficiency of the lubrication system depends on the shaft speed and temperature, which affects oil viscosity. In turn, the thrust bearing load also depends on the rotational speed of the shaft, because as the speed increases, the drag of the ship increases simultaneously,...
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Regarding the “Review of surgical techniques and guide for decision making in the treatment of benign parotid tumors”
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Decision Support System to Improve the Effectiveness of Chemical Control Against Cutworms in Sugar Beet
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