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EN
Purpose: This paper aims to assess the sustainability of energy generation systems in various European Union countries. It seeks to understand the diverse challenges and opportunities these countries face in transitioning to sustainable energy. Methodology: The study employs a multi-criteria decision analysis (MCDA) approach, considering economic, environmental, and social aspects. Data from various databases, including Eurostat, the International Energy Agency, and the World Bank, were analyzed. Results: The results reveal significant variations in sustainability performance across different countries and regions. With strong policy support and high public awareness, Scandinavian countries generally performed well across all sustainability indicators. In contrast, Eastern European countries faced more challenges due to their heavy reliance on fossil fuels. Theoretical Contribution: This study contributes to the ongoing discourse on sustainable energy by providing a comprehensive assessment of the sustainability of energy generation systems. It underscores the complex and multifaceted nature of sustainability and the various factors that influence it. Practical Implications: The findings provide valuable insights for policymakers and energy providers. They highlight the importance of policy support, public awareness, and acceptance in promoting sustainable energy. They also underscore the need for continued efforts and interventions to address the challenges faced by countries heavily reliant on fossil fuels.
EN
The article presents an exemplary application of the multi-criteria navigational safety assessment method for the proposed variants of the designed waterway in order to verify it. This method comprehensively considers the most important environmental and technical aspects related to the implementation of the planned investment. The method can be used for the purposes of navigational analysis, i.e. an engineering document that meets the requirements of the regulation of the competent, which subject to agreement with the Director of the territorially competent Maritime Office.
EN
EU Biodiversity Strategy for 2030 aims to restore 25,000 km of free-flowing rivers across Europe. The critical issue is which barriers should be prioritised for removal. In this study, a set of socio-economic and environmental criteria was chosen to rank the dams on salmonid rivers in Lithuania and recommend them for removal. As these criteria usually contradict themselves, the multi-criteria decision analysis tool was utilised. The results showed that the Anykščiai dam on the river Šventoji could be recommended to be removed first. The removal can significantly increase the salmonid population in the river Šventoji over a significant stretch of the river. Also, this dam is in a protected area, is not listed as a national heritage, and does not have a hydropower plant. Although, this study showed that dams with hydropower plants could also be recommended for removal.
EN
In recent years, we have been able to observe a dynamic development of MCDA (multi-criteria decision analysis) methods, which have become widely used in various sectors, including construction. These methods are characterised by simplicity and one of their key advantages is their simple modelling of non-linear dependencies within decision problems and their analysis under the conditions of incomplete, uncertain and hard-to-measure information. The universality and simple use of these methods does not, however, free the decision-maker from the necessity to adopt the proper approach to modelling and analysing specific decision problems. To highlight the fact that it is the character of the problem that should determine the selection of the method of analysing it and not the other way around, the authors assessed the AHP (Analytic Hierarchy Process) and the ANP (Analytic Network Process) method in terms of verifying the impact of the different decision model structures on analysis outcomes and analysed their sensitivity to input data changes. This analysis was based on the example of selecting a telecommunications tower footing reinforcement alternative. The findings confirmed the significant impact of decision model structure on the ranking of the analysed alternatives.
PL
W ostatnich latach można zauważyć dynamiczny rozwój metod MCDA (multi-criteria decision analysis), które znalazły powszechne zastosowanie także w budownictwie. Metody te cechuje prostota, a ich istotną zaletą jest łatwe modelowanie nieliniowych zależności w problemach decyzyjnych oraz ich analiza w warunkach niepełnej, niepewnej i trudno mierzalnej informacji. Autorzy niniejszego artykułu przeanalizowali specyfikę dwóch popularnych i uznanych metod wielokryterialnego wspomagania decyzji: metody AHP (Analytic Hierarchy Process) i ANP (Analytic Network Process). Przedmiotem oceny tych dwóch metod jest zagadnienie tzw. strukturyzacji problemu w formie modelu decyzyjnego, która determinuje charakter jego analizy. Ponieważ w praktyce wielu decydentów nie przywiązuje wagi do strukturyzacji problemu, w ramach stosowania w/w metod autorzy swoje rozważania na ten temat oparli na praktycznym przykładzie wyboru wariantu wzmocnienia posadowienia wieży telekomunikacyjnej stanowiącej część Radiowej Stacji Bazowej (RBS) Wierzbięcice w gminie Nysa na terenie Polski. W związku z planowaną modernizacją stacji bazowej i związaną z tym rozbudową infrastruktury antenowej na wieży i zwiększeniem obciążeń zalecono wykonanie wzmocnienia trzonu wieży oraz jej fundamentów. Analizie poddane zostały następujące warianty wzmocnienia fundamentu: V1 dodatkowe stopy fundamentowe, V2 mikropale, V3 płyta żelbetowa. Do oceny wariantów przyjęto siedem kryteriów decyzyjnych: C1 czas wykonania, C2 grunt do wywiezienia, C3 ilość potrzebnego sprzętu, C4 koszt, C5 stabilizacja tymczasowa, C6 stopień skomplikowania robót, C7 wymagania formalno-prawne. Celem przeprowadzonej analizy było ukazanie wpływu struktury modelu decyzyjnego na wybór optymalnego rozwiązania problemu decyzyjnego w świetle przyjętych kryteriów.
EN
Weight elicitation is an important part of multi-criteria decision analysis. In real-life decisionmaking problems precise information is seldom available, and providing weights is often cognitively demanding as well as very time- and effort-consuming. The judgment of decision-makers (DMs) depends on their knowledge, skills, experience, personality, and available information. One of the weights determination approaches is ranking the criteria and converting the resulting ranking into numerical values. The best known and most widely used are rank sum, rank reciprocal and centroid weights techniques. The goal of this paper is to extend rank ordering criteria weighting methods for imprecise data, especially fuzzy data. Since human judgments, including preferences, are often vague and cannot be expressed by exact numerical values, the application of fuzzy concepts in elicitation weights is deemed relevant. The methods built on the ideas of rank order techniques take into account imprecise information about rank. The fuzzy rank sum, fuzzy rank reciprocal, and fuzzy centroid weights techniques are proposed. The weights obtained for each criterion are triangular fuzzy numbers. The proposed fuzzy rank ordering criteria weighting methods can be easily implemented into decision support systems. Numerical examples are provided to illustrate the practicality and validity of the proposed methods.
EN
Background: This paper proposes a novel hybrid group decision making methodology to solve a coalition-formation problem for cooperative replenishment with multiple firms to achieve operational efficiency. We consider a case of horizontal cooperation between firms, and we investigate the profitability of horizontal cooperation when designing collaborative contracts. Methods: This study presents the application of a hybrid approach for group decision support for the coalition-formation problem. Multi-criteria decision making (MCDM) and intuitionistic fuzzy set (IFS) theory have been integrated to provide group decision support under consensus achievement. In addition, this study employs the entropy method to identify the weights of the decision makers. Results: The proposed integrated approach has been further studied through an illustrative example. The decision procedure used here is simply structured so that it may easily be implemented with a computer. Conclusions: This research may be beneficial to decision makers, researchers and organizations in helping them to understand project based evaluation in order to design and plan better horizontal cooperation.
PL
Wstęp: W artykule zaproponowano nową metodologię podejmowania decyzji dotyczących tworzenia koalicji między wieloma firmami w celu osiągnięcia wydajności operacyjnej. Rozważany jest przypadek horyzontalnej współpracy między firmami, a następnie badana jest opłacalność współpracy horyzontalnej przy projektowaniu umów o współpracę. Metody: W pracy przedstawiono zastosowanie podejścia hybrydowego do wspomagania decyzji grupowych w przypadku problemu koalicji. Zintegrowano wielokryterialne podejmowanie decyzji (MCDM) i intuicyjną teorię zbiorów rozmytych (IFS), aby zapewnić grupowe wsparcie decyzji przy osiągnięciu konsensusu. Ponadto zastosowano metodę entropii do identyfikacji wag osób podejmujących decyzje. Wyniki: Proponowane zintegrowane podejście zostało poddane dalszej analizie za pomocą przykładu. Zastosowana tutaj procedura decyzyjna ma prostą strukturę, dzięki czemu można ją łatwo wdrożyć za pomocą komputera. Wnioski: Badania te mogą być korzystne dla decydentów, badaczy i organizacji, pomagając im zaprojektować i zaplanować współpracę horyzontalną.
PL
Przedmiotem artykułu jest problem wyboru maszyn do wykonania robót montażowych. Wybór ten realizowany jest metodami MCDA, do których stosowania wykorzystuje się oceny rozwiązań przez pryzmat istotnych kryteriów z określeniem ich wag. W pracy przedstawiono wyniki badań ankietowych i ich analizę ustalające istotność i wagi kryteriów. Przeprowadzono badania wśród kierowników robót oraz planistów w polskich przedsiębiorstwach zajmujących się prowadzeniem robót montażowych, ustalając istotność 14 kryteriów - 9 technologicznych i 5 związanych z preferencjami wykonawców lub czynnikami ekonomiczno-rynkowymi. Celem badań ankietowych było ustalenie miar istotności kryteriów decydujących o wyborze rodzaju żurawi budowlanych, oraz ocena żurawi względem tych kryteriów.
EN
Crane selection is an important issue in assembly works planning. Tower and telescopic, stationary and mobile cranes used in construction have essentially different properties. Assembly planning begins in analyzing the possibilities of assembly with a given crane. This is called technical aspect of crane selection. Cranes that meet the technical criteria are then analyzed in terms of other criteria related to the effectiveness of their use on the construction site. The article presents the assessment of the selection criteria and the method of crane selection itself. Surveys conducted among construction managers and planners in Polish companies dealing with assembly works allowed to determine the significance of the selection criteria. For this purpose, an example using SAW (Simple Additive Weighting) and FSAW (Fuzzy Simple Additive Weighting) methods was presented. They also allowed to propose a technique for determining preferences in the use of selected construction cranes. The aim of the research was to increase the usability of computer applications supporting assembly planning by acquiring expert knowledge for the initial selection of organizational solutions.
EN
The article proposes the use of one of the methods of multi-criteria decision analysis (AHP method) to determine the urgency of consolidation works in the area of the Moniecki county. To this end, an appropriate set of criteria was adopted for the mutual comparison of precincts in the considered area. The calculations include a non-typical for AHP method, a large number of considered ranges. The analysis covered 201 precincts, and as a result, the areas with the greatest urgency of merging works were indicated.
PL
Artykuł przedstawia porównanie wielokryterialnej metody Analytic Hierarchy Process (AHP) oraz taksonomii numerycznej na podstawie analizy wyboru lokalizacji biogazowni. Wykazano, że analiza lokalizacji biogazowni metodą AHP oraz metodą taksonomii numerycznej wskazuje jednakowe uporządkowanie rozpatrywanych lokalizacji, przy jednocześnie różnych wagach kryteriów wpływających na podjęcie decyzji. W artykule przedstawiono również badanie wrażliwości obu metod na zmianę liczby kryteriów i wariantów decyzyjnych. W metodzie AHP, po redukcji liczby kryteriów, wskazano to samo kryterium jako posiadające największy wpływ na wybór lokalizacji biogazowni. Metoda taksonomii numerycznej, po redukcji kryteriów, wskazała, że kryteria zmieniły swoje znaczenie względem analizowanej lokalizacji. Z tego względu metoda taksonomii numerycznej okazała się wrażliwą na zmianę liczby kryteriów.
EN
The article presents a comparison of the multicriteria Analytic Hierarchy Process method and numerical taxonomy based on the location of the biogas power plant. Biogas power plants were included in the group of energy sources which will contribute to the implementation of the energy-climate package for Poland until 2030. Energy security can be greatly enhanced by increasing the production of energy from renewable sources, eg. biogas power plants, which acquire energy from biogas of various origins. Therefore, the location of the biogas power plants is influenced by multiple factors, such as an environmental impact, availability and origin of biogas, technological aspects, and the possibility of utilization of produced energy. The problem of locating biogas power plants, due to a multitude of factors, is multicriteria. The AHP method is a mathematical method with a high level of advancement. The result of the analysis is to determine the rank vector of the considered options. The numerical taxonomy method is much less complex. It consists in determining the distance between the considered solutions and the hypothetically ideal solution, thus forming ranking solutions. The methods were compared in terms of sensitivity to changing options and decision-making criteria.
EN
A multimethod approach to the multicriteria analysis and assessment of objects (rankings, grouping, econometric assessments) have been presented. This issue is a field of research and engineering associated with the construction and application of a computerized decision support system (DSS 2.0). In terms of the proposed approach, the functionality of the developed prototype has been illustrated based on a practical example of the assessment of employees and the analysis of remuneration. The Electre TRI method of grouping derived from a relational model complements ranking methods well (e.g., AHP) based on the functional model. Grouping reveals cases, where all or the vast majority of objects in a ranking were clustered within one class (e.g., in the best or the worst one).
EN
The author’s focus is on assessing the extent to which five low-carbon energy technologies with the highest market potential can contribute to increased social well-being within the concept of sustainable development. Heuristic methods are used. Relevant criteria in the areas of economy, society, and the environment are identified by the Delphi method. An expert survey was then conducted to obtain a ranking of the energy technologies. Experts weighted the importance of individual areas and criteria, and then assessed the strength and direction of the impact of each technology on the identified criteria in three areas. The results have shown that renewable energy technologies clearly prevail over nuclear power in achieving the sustainable development goals. The best in this respect among renewable energy sources are photovoltaics, followed by biomass and biogas. Onshore and offshore wind farms were ranked third and fourth, respectively.
PL
W centrum zainteresowania autora jest ocena stopnia, w jakim pięć technologii energetyki niskoemisyjnej, mających największy potencjał rynkowy, może przyczynić się do wzrostu dobrobytu społecznego w rozumieniu koncepcji zrównoważonego rozwoju. Stosowane są metody heurystyczne. Identyfikacja istotnych kryteriów w obszarach: gospodarka, społeczeństwo, środowisko, została przeprowadzona metodą delficką. Następnie przeprowadzono badanie ankietowe eksperckie w celu uzyskania rankingu technologii energetycznych. Eksperci nadawali wagi poszczególnym obszarom oraz kryteriom, a następnie oceniali siłę i kierunek wpływu poszczególnych technologii na zidentyfikowane kryteria w ramach trzech obszarów. Wyniki wskazują, że technologie energii odnawialnej wykazują zdecydowaną przewagę nad energetyką jądrową w realizacji celów polityki zrównoważonego rozwoju. Wśród odnawialnych źródeł energii pierwsze miejsce zajmuje fotowoltaika, następnie biomasa i biogaz. Energetyka wiatrowa lądowa i morska zajmują odpowiednio – trzecie i czwarte miejsce.
EN
The paper is to present a multi-criteria approach for sustainability assessment of manufacturing processes, which can be applied to carry out the sustainability assessment of manufacturing processes requiring less detailed data, time, and expert knowledge, but still providing a company-level analysis. The analytical hierarchy process method is used to determine ranking of simple and relevant activity areas for manufacturing processes in terms of sustainability objectives. Analytical technique is also employed to assess the degree of sustainability in manufacturing due to limited information which appear to be a characteristic of the case study presented. One goal of sustainability characterization methodology is to improve the manufacturing sustainability performance. Similar to the baseline scenario, sustainability reevaluation for sustainability improvement is also applied and discuses performance profile at the process level. This approach seems particularly useful when comparing different processes. It makes applicable for various industries and might be a challenge to derive priorities for systematic improvement. The applicability and usability of the proposed assessment method was verified by the case study in company producing heating devices.
PL
W ramach poniższego artykułu przeprowadzono uproszczone analizy w celu wyłonienia optymalnej lokalizacji podlaskiego portu lotniczego, a uproszczenie to wynikało głównie z ograniczonego miejsca na przedstawienie tych analiz. Rozpatrzono cztery potencjalne lokalizacje, a wyboru dokonano z użyciem metod wielokryterialnego wspomagania decyzji (MCDA/MCDM), które na świecie od wielu lat są bardzo popularne i pomocne w rozwiązywaniu różnego rodzaju problemów decyzyjnych.
EN
This article presents the use of multi-criteria decision analysis methods of the problem of the choice of the airport location in Podlaskie Voivodeship. The objects of analysis are four potential locations that were considered in the light of economic, spatial, social and environmental criteria. At the outset the desirability of construction of an airport in the voievodship of Podlasie has been justified. Then criteria were defined and analyses were made in order to identify the optimal location. The analyses were performed using very popular methods of multi-criteria decision analysis like AHP, PROMETHEE and TOPSIS.
EN
In most cases, known methods of multi-criteria decision-making are used in order to make linear aggregation of human preferences. Authors of these methods seem not to take into account the fact that linear functional dependences rather rarely occur in real systems. Linear functions rather imply a global character of multi-criteria. This paper shows several examples of human nonlinear multi-criteria that are purely local. In these examples, the nonlinear approach is used based on fuzzy logic. It allows for better understanding of how important is the non-linear aggregation of human multi-criteria. The paper contains also proposal of an indicator of nonlinearity degree of the criteria. The presented results are based on investigations and experiments realized by authors.
EN
Municipal solid waste (MSW) generated by the dwellers of the City of Bandung which amounted to 7500 m3 per day is big deal of a problem for the Government of the City since MSW treatment and management is carried out by the Government business branch (PD Kebersihan). The Government has decided to implement waste to energy (WTE) incineration for MSW treatment three years ago. The realization, however, was nowhere to be seen. One of the reasons that the realization is halted is due to the objection by residents in the neighbourhood of the planned WTE plant site. This paper aims to systematically and objectively assist and support the decision makers in the Government in selecting the most appropriate MSW treatment technology and management for the City via implementation of sound multi criteria decision analysis (MCDA) tools available. Herein, the MSW treatment technology and management regarded as alternatives are open dumping landfill, sanitary landfill, power generation from biogas via anaerobic digestion, power generation via gasification, composting, and waste to energy (WTE) incineration. Moreover, aspects of technology, social, economy, and environment are considered as criteria for selecting the most suitable MSW treatment technology and management. Several well established MCDA tools such as AHP, ELECTRE II, PROMETHEEII, and TOPSIS are applied. Each of the MCDA tool has its own merits and drawbacks which will be investigated in this paper. In addition, sensitivity analyses were carried out in order to investigate the robustness of the methods. Among all MCDA tools mentioned, TOPSIS is the simplest to be used for it does not need much intervention from the decision maker, and yet yields comparable results with others.
EN
This paper contains an application of a method of Multi-Criteria Decision Analysis (MCDA) in order to deal in a logical way with the difficulty that arises when projects are assessed, under the presence of quantitative and qualitative criteria. Initially, major aspects of MCDA and its methods are presented in the paper. The choice of one particular method is then justified. The method chosen for this particular application was ELECTRE IV. This is a method that belongs to the European School of MCDA and whose use does not imply the knowledge of criteria weights. The use of ELECTRE IV allowed for a reflection on the decision criteria selected as well as on the evaluation procedures currently in use. This led to higher quality of the evaluation process and transparency in resource allocation. The practical experience described in this paper has suggested that the same method or equivalent methods should definitely be considered in similar application contexts.
EN
Effectiveness of real decisions made with regard to management of power energy production systems depends on numerous, conflicting criteria. Due to a need for sustainable development, traditional—economical criterion should be accompanied by other criteria to make a decision analysis more thorough. Therefore, application of multi-criteria decision analysis (MCDA) methods is required. Additionally, utilized approach should be able to deal with inevitable uncertainty and intangibility of considered problems effectively. Finally, a practical presentation of some promising MCDA methods is included.
18
Content available remote A multicriteria approach to support the design of comlex systems
EN
Numerous design problems exist when the product is so complex that it has to be decomposed and given to specialists from different disciplines. Multidisciplinary interaction is difficult and therefore specific methodologies are proposed for the design of systems and for the coordination of the involved organizational groups. The concept of interaction between disciplines is related to the original work context, the design coordination, but can be extended to all situations in which different sectors are involved, tin technical, administrative or management contexts. A collaboration between the Thales Alenia Space Italia enterprise and the university made it possible to define the problem of supporting the design of complex systems, in relation to the firm's design processes, and to test some innovative approaches. I One of these approaches integrates methods of Problem structuring and Multicriteria analysis. The results, in relation to a specific space-mission case study, are presented and analysed.
EN
Inconsistent information is one of main difficulties in the explanation and recommendation tasks of decision analysis. We distinguish two kinds of such information inconsistencies : the first is related to indiscernibility of objects described by attributes defined in nominal or ordinal scales, and the other follows from violation of the dominance principle among attributes defined on preference ordered ordinal or cardinal scales, i.e. among criteria. In this paper we discuss how these two kinds of inconsistencies are handled by a new approach based on the rough sets theory. Combination of this theory with inductive learning techniques leads to generation of decision rules from rough approximations of decision classes. Particular attention is paid to numerical attribute scales and preference-ordered scales of criteria, and their influence on the syntax of induced decision rules.
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