Explore chapters and articles related to this topic
multi-criteria decision analysis of water demand management options for puerto ayora
Published in Maria Fernanda Reyes Perez, Water Supply and Demand Management in the lápagos: A Case Study of Santa Cruz Island, 2017
The MCDA encompasses an integrated and complete assessment of multiple suggested alternatives, with a set of tools for any decision making process. These analyses comprise of applied mathematical algorithms that evaluate a collection of different values and factors. The evaluation is usually carried out on problems with conflicting goals, high uncertainty, different forms of data and information, multiple interests and perspectives, and complex biophysical and socio-economic systems (Wang et al. 2009). The ultimate goal of this approach is to define the most feasible and sustainable solution of a certain issue at a low cost and considering all preferences of the participants (Linkov et al. 2006).
Evaluation of pollution prevention options in the municipal water cycle
Published in Alberto Galvis Castaño, Integrated Pollution Prevention and Control for the Municipal Water Cycle in a River Basin Context, 2019
Water management is typically a multi-objective problem which makes multicriteria decision analysis MCDA a well-suited decision support tool (Hajkowicz and Collins, 2007). There is no single multi-criteria decision analysis MCDA method that can claim to be a superior method for all decision (Mutikanga et al., 2011). Whilst selection of the MCDA technique is important more emphasis is need on the initial structuring of the decision problem, which involves choosing criteria and decision options (Hajkowicz and Higgins, 2008). The wastewater treatment alternative selection is a MCDA, where uncertainty, complexity and hierarchy need to be considered. (Zeng et al., 2007) propose a multi-criteria analysis methodology including: AHP and (GRA). AHP is useful for handling multiple criteria and objectives in the decisionmaking process. The GRA is a measurement method in grey system theory that analyzes uncertain relations between one main factor and all the other factors in a given system (Liu et al., 2005; Tosun and Pihtili, 2010). The hierarchy GRA combines the traditional GRA with the idea of the hierarchy of the AHP. It enables a more effective evaluation than just the mono level-based evaluation. The different levels of importance of the criteria are reflected through weighting factors to avoid subjectivity and randomness. In addition, the quantified evaluating scale, namely the integrated grey relational grade, makes the wastewater treatment alternative selection more comparable and comprehensive. Grey system theory was developed by Deng (1982) and has been successfully applied in engineering prediction and control, social and economic system management, and environmental system decision making in recent years.
Risk Assessor's Toolbox
Published in Charles Yoe, Principles of Risk Analysis, 2019
MCDA helps risk managers sort through a prespecified set of alternatives to identify those alternatives with the characteristic of interest, that is, greatest risk potential, greatest risk reduction potential, and so on. The quality of information used in MCDA can be scientifically derived hard data or it can accommodate subjective interpretations of ratings for one or more criteria. MCDA, like risk assessment, does not produce decisions; it produces information upon which informed decisions can be based. MCDA has proven to be especially useful for group decision-making processes.
Alignment of port policy to the context of the Physical Internet
Published in Maritime Policy & Management, 2023
Patrick B.M. Fahim, Gerjan Mientjes, Jafar Rezaei, Arjan van Binsbergen, Benoit Montreuil, Lorant Tavasszy
MCDA is a sub-field of operations research where multiple decision alternatives are analyzed with respect to multiple (often conflicting) decision criteria. Among several MCDA methods, we choose the BWM. It is a data-efficient method and has proven to produce consistent and reliable results (Rezaei 2015). Through the initial selection of the best and worst criteria, to which the other criteria are compared, BWM is structured, easily executable, and time-efficient. By means of its pairwise comparisons, the BWM also helps decision-makers to gain additional valuable insights. Moreover, through the use of only integers, fundamental distance problems which might occur with the use of fractions in pairwise comparisons can be prevented (Rezaei 2015). Finally, the use of two opposite references (best and worst) mitigates a potential anchoring bias of the respondent (Rezaei 2020).
The mathematical models as a decision support tool for the oil transportation business: A case study of an oil business in Thailand
Published in Cogent Engineering, 2022
Manop Donmuen, Komkrit Pitiruek
MCDA is a multi-objective decision-making procedure. The aim of MCDA is to help identify a better solution depending on the situation and the decision maker’s area of expertise. MCDA methods such as Simple Additive Weighting (SAW; Dobrovolskienė & Pozniak, 2021; Sam’An et al., 2018; Zhao et al., 2021), Analysis Hierarchy Process (AHP), and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS; Akgün & Erdal, 2019) have been adopted. This research considered two factors: the shipping cost and truck utilization. Therefore, SAW was selected as the criterion for decision-making. This method used weights and , which had values ranging from 0.1–0.9. These weights were used to compute the value function for evaluating the ranking and to select the best value function of the traditional model and proposed models. The best choice identified by the MCDA was the lowest value. The MCDA technique is explained as follows:
Floating photovoltaic technology definition aided with multi-criteria decision analysis: a case study
Published in International Journal of Sustainable Energy, 2022
Salvatore Di Grazia, Giuseppe Marco Tina
The choice of criteria and their weights, in MCDA methods, is a subjective choice dictated by the preferences of the designers, the knowledge of the subject and what imprint to give to the study. In the literature there are other studies in which the MCDA is used for the allocation of photovoltaic systems on the ground and wind power plants or for the choice of which is the best panel to install; the criteria are usually gathered into several categories. In Yushchenko et al. (2018) two different scenarios are proposed for the allocation of a photovoltaic system, the difference consists in the dispatching of the energy produced, and the criteria are divided into economic, technical and social; the first is given a weight between 43.9% and 56.3% in the two scenarios, the technical criteria between 38.1% and 50.6% and the social criteria between 5.4% and 9.5%. The researchers of Saraswat et al. (2021) divide the criteria into economic, technical and environmental, giving greater importance to the technical component to which 45% of the weight is attributed. To the economic criterium 30% and to the environmental criterium 25%. Also in Kozlov and Sałabun (2021) the criteria are divided into economic, technical and environmental ambits giving greater weight, also in this case, to the technical aspect with 56%. Environmental and economic criteria are given more or less equal importance, 20% to the first and 24% to the latter. The findings in the literature combined with the priorities of the designers led to the subsequent choice of the criteria weights.