scholarly journals A hybrid approach to apply dematel in a multi-criteria setting

2020 ◽  
Vol 11 (1) ◽  
pp. 194
Author(s):  
Frederico Silva Valentim Sallum ◽  
Luiz Flavio Autran Monteiro Gomes ◽  
Maria Augusta Soares Machado ◽  
Leonardo Silva Valentim Sallum
Keyword(s):  
Decision Analysis ◽  
Hybrid Approach ◽  
New Approach ◽  
Promethee Ii ◽  
Multi Criteria Decision Analysis ◽  
Decision Sciences ◽  
Preference Index ◽  
Set Up ◽  
Influence Degree

The DEMATEL method has been applied in the Decision Sciences in several studies. However, one has not been able to apply DEMATEL directly to a multi-criteria matrix formed by a set of alternatives and a set of criteria yet. In order to approach this, we propose a novel way to apply DEMATEL to a multi-criteria matrix for ranking a set of alternatives according to their performances in a set of criteria. For accomplishing this, we consider the set of alternatives in a classical multi-criteria problem as the set of components used in a usual DEMATEL application. To set up the influence degree among studied components, we used the preference index of PROMÉTHÉE II. Such preference index takes into consideration the performances of alternatives on all criteria to establish each influence degree. Thereby, we denote the influence degree by preference degree. This new approach is applied to a case study and results are compared against those of three multi-criteria methods. It is then possible to note small, understandable differences among the rankings. This hybrid approach has therefore shown to be theoretically sound and feasible to be used in the practice of Multi-Criteria Decision Analysis.

Using multi criteria decision analysis to evaluate nanotechnology: nAg enabled textiles as a case study

2017 ◽  
Vol 4 (8) ◽  
pp. 1647-1655 ◽  
Author(s):  
Andrea L. Hicks
Keyword(s):  
Decision Analysis ◽  
Multi Criteria Decision Analysis

Nanosilver enabled textiles represent an advancement in clothing technology, due to their antimicrobial nature.

Risiko- und Notfallmanagement unter Unsicherheit (Teil 2)

2011 ◽  
Vol 52 (2) ◽  
pp. 12-16
Author(s):  
Jutta Geldermann ◽  
Valentin Bertsch ◽  
Florian Gering
Keyword(s):  
Monte Carlo ◽  
Decision Analysis ◽  
Supply Chains ◽  
Decision Processes ◽  
Decision Makers ◽  
Decision Situation ◽  
Multi Criteria Decision Analysis ◽  
Accident Scenario ◽  
Complex Decision

Komplexe Entscheidungssituationen, wie sie beispielsweise im Notfall- und Sanierungsmanagement nach einem kerntechnischen Störfall auftreten, erfordern eine Berücksichtigung technischer, ökonomischer, ökologischer, sozio-psychologischer und politischer Aspekte. Ansätze der Mehrzielentscheidungsunterstützung ermöglichen eine aggregierte Betrachtung verschiedener Aspekte, das Miteinbeziehen der subjektiven Präferenzen der Entscheidungsträger und tragen zu mehr Transparenz und Nachvollziehbarkeit von Entscheidungsprozessen bei. Dieser Beitrag befasst sich schwerpunktmäßig mit der Betrachtung von Unsicherheiten in solchen Entscheidungsprozessen. Zur Modellierung, Fortpflanzung und Visualisierung von Unsicherheiten wird ein Monte-Carlo-Ansatz vorgestellt und beispielhaft auf Daten eines fiktiven nuklearen Unfallszenarios angewendet. Generell ist der Ansatz jedoch auf allgemeine komplexe Entscheidungssituationen erweiterbar, insbesondere auf den Bereich sonstiger industrieller Notfälle. Eine interessante Fragestellung besteht weiterhin in der Untersuchung der Auswirkungen industrieller Notfälle auf die gesamte Wertschöpfungskette. Der erste Teil des Aufsatzes wurde bereits in Der Betriebswirt 1/2011 veröffentlicht, der letzte Teil folgt in Ausgabe 3/2011. Complex decision situations, such as in nuclear emergency and remediation management, require the consideration of technical, economic, ecological, socio-psychological and political aspects. Approaches for Multi-Criteria Decision Analysis (MCDA) help to take into account various incommensurable aspects and subjective preferences of the decision makers and thus contribute to transparency and traceability of decision processes. This paper focuses on the handling of uncertainties in such decision processes. Monte Carlo approaches can be used to model, propagate and finally visualise the uncertainties, as a case study on a hypothetical radiological accident scenario illustrates. In general, the presented approach can be adopted for any complex decision situation, especially for industrial emergencies. Further research would be necessary for the analysis of their consequences for entire supply chains. Keywords: risiko und notfallmanagement unter unsicherheit

scholarly journals Comprehensive Assessment of Water Sensitive Urban Design Practices based on Multi-criteria Decision Analysis via a Case Study of the University of Melbourne, Australia

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2885
Author(s):  
Hanxiang Xiong ◽  
Yafei Sun ◽  
Xingwei Ren
Keyword(s):  
Decision Analysis ◽  
Urban Design ◽  
Comprehensive Assessment ◽  
Multi Criteria Decision Analysis ◽  
Water Sensitive Urban Design ◽  
Final Score ◽  
Green Stormwater Infrastructure ◽  
A Site ◽  
The University

Water sensitive urban design (WSUD), as a typical green stormwater infrastructure (GSI), contains various facilities to decrease the urbanization impacts and enhance the values of amenity, ecosystem, and livability in Australia. Although WSUD has developed over 30 years, existing studies for WSUD performances have sometimes ignored its economic and social benefits, and there is still a lack of an integrated framework to optimize the GSI combinations based on various criteria in a site. This paper aims to utilize “score-rank-select” strategy to comprehensively assess WSUD combination scenarios from functional, economic, social, and environmental aspects, by taking the University of Melbourne (Parkville campus) as a case study. In detail, multi-criteria decision analysis (MCDA) was used for weight determination and scenario comparison. The results showed that scenario 4 with 52% green WSUD facilities had the highest assessment score (0.771) among the five scenarios, while the final score (0.758) of scenario 5 was lower than scenario 4 although its green facility proportion reached 69%. The trade-off relation between the proportion of grey and green WSUD facilities was further demonstrated. Additionally, this paper strongly recommends that the MCDA-based comprehensive assessment framework described here can be generally promoted for the water sector to solve the decision-making problems. The use of such a framework can further promote sustainable development by helping water managers to make informed and inclusive decisions involving a variety of factors.

scholarly journals Efficacy, Safety, and Economics of Innovative Medicines: The Role of Multi-Criteria Decision Analysis and Managed Entry Agreements in Practice and Policy

2021 ◽  
Vol 3 ◽  
Author(s):  
Tanja Fens ◽  
Eugène P. van Puijenbroek ◽  
Maarten J. Postma
Keyword(s):  
Decision Analysis ◽  
Safety Data ◽  
Evidence Base ◽  
Point Of View ◽  
Marketing Authorization ◽  
Multi Criteria Decision Analysis ◽  
Regulatory Bodies ◽  
Managed Entry Agreements ◽  
Set Up

Through the years, solutions for accelerated access to innovative treatments are implemented in models of regulatory approvals, yet with limited data. Besides efficacy data, providing adequate safety data is key to transferring conditional marketing authorization to final marketing authorization. However, this remains a challenge because of the restricted availability and transferability of such data. Within this study, we set up a challenge to analyze the answers of two questions. First, from regulatory bodies' point of view, we bring the question of whether multi-criteria decision analysis (MCDA) is an adequate tool for further improvement of health technology assessment (HTA) of innovative medicines. Second, we ask if managed entry agreements (MEAs) pose solutions for facilitating the access to innovative medicines and further strengthening the evidence base concerning efficacy and effectiveness, as well as safety. Elaborating on such challenges brought us to conclude that increasing the attention to safety in MCDAs and MEAs will increase the trust of the authorities and improve the access for the manufacturers and the early availability of safe and effective medicines for the patients.

GIS-MULTI CRITERIA DECISION ANALYSIS FOR LAND ALLOCATION IN CONFLICTING PURPOSE Case Study: Adjoining Area of D’Aguilar National Park, Brisbane, Australia

2021 ◽  
Vol 23 (1) ◽  
pp. 53
Author(s):  
Muhamad Iqbal Januadi Putra
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
National Park ◽  
Land Area ◽  
Conservation Area ◽  
Multi Criteria Decision Analysis ◽  
Land Use Conflict ◽  
Adjoining Area ◽  
Landscape Value

<p>While there are much research has been conducted to apply the Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) method to determine the suitability area for a particular purpose, only limited research has tried to examine the different approach to apply this method for the conflicting purpose. One area that has the potential to experience land use conflict in the future is the adjoining area of D’Aguilar National Park, Brisbane, Australia, due to the presence of biodiversity landscape value that needs to be protected. The objective of this paper is to allocate an area for each both residential development and conservation area in the adjoining area of D’Aguilar National Park. This research covers the method of GIS in processing the MCDA to develop the model which has many factors to support the decision making, including for the conflicting purpose.  Moreover, the method also used GIS-fuzzy MCDA or widely known as GIS-Fuzzy MCDA (GIS-FMCDA). The result of this research shows that allocating the conflicting land area is quite different from the non-conflicting one. Applying MCDA for the conflicting purpose requires different decision making to show which area would be optimal to allocate.</p>

Spatial modeling of migration using GIS‐based multi‐criteria decision analysis: A case study of Iran

2021 ◽  
Author(s):  
Naeim Mijani ◽  
Davoud Shahpari Sani ◽  
Mohsen Dastaran ◽  
Hamzeh Karimi Firozjaei ◽  
Meysam Argany ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Spatial Modeling ◽  
Multi Criteria Decision Analysis
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