New Methods and Applications in Multiple Attribute Decision Making (MADM)

Alinezhad, Alireza; Khalili, Javad

doi:10.1007/978-3-030-15009-9

Cited by 241 publications

(190 citation statements)

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“…The SWARA-WASPAS method was used to select the optimal location of a shopping mall in Iran [19]. The idea of a step-wise weight assessment ratio analysis (SWARA) involves the determination of relative importance through the inputs provided by experts [20]. The weighted aggregated sum product assessment (WASPAS) method is based on the combination of a weighted sum model (WSM) and weighted product model (WPM) [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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Currently, the trade volume between China and the European Union is experiencing rapid growth. However, there are many bottlenecks in the operation of the China Railway Express, such as imbalance in inbound and outbound transported containers in the Sino–European direction and a low profit margin. More than fifty-three rail routes in China provide rail transportation to European cities and have small traffic volumes. However, such a dramatic situation affects transportation costs, which are three times higher compared with maritime transportation, causing uncertainty related to the demand of Chinese customers. This study analyzes the shortcomings of previous research studies related to multicriteria decision-making (MCDM) models applied in the field of logistics and transportation. The study proposes a novel approach to determine the optimal locations of the CR Express international logistics centers. The proposed approach involves the application of a MCDM model using the DEMATEL-MAIRCA method. This technique finds the closest solution to the ideal one by identifying the value of the best alternative in line with the observed criterion, and by measuring the distances of other alternatives according to the observed criterion of the ideal value. Finally, we show the similarity of the proposed methodology to other MCMD methods, which is one of the key topics of the Symmetry Journal, to prove the validity of the applied DEMATEL-MAIRCA method. Preliminary results show that in view of increased container turnover between China and the European Union, the determination of optimal locations for CR Express international logistics centers should be carried out dynamically.

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Section: Literature Reviewmentioning

confidence: 99%

Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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“…Seven criteria were selected, including technical, economic, social and environmental aspects. The weights of each criterion can be calculated by different MADM methods, such as subjective and objective methods [44]. This study used a compensatory method, integrated determination of objective criteria weights (IDOCRIW), which was introduced by Zavadskas and Podvezko in 2016 [45].…”

Section: Multiple Criteria Decision Makingmentioning

confidence: 99%

Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System

Chiu

Aghaloo

Mohammadi

2020

Water

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Rainwater harvesting systems (RWHSs) have been accepted as a simple and effective approach to ease the worsening of urban water stress. However, in arid and semiarid regions, a comprehensive method for promoting domestic RWHSs in a large-scale water-saving scheme that incorporates water consumption reducing equipment (WCRE) and gray water reuse (GWR), has not been well developed. For this, based on the case study of Guilan Province, Iran, this study addressed the temporal-spatial complex of rainfall and proposed a GIS-simulation-based decision support system (DSS). Herein, two scenarios, i.e., the typical RWHS and the modified RWHS for arid areas, were tested; and the associated economic analysis was performed and compared with WCRE and GWR. Moreover, for larger-scale implementation, the multiple criteria decision making (MCDM) technique was further applied to address the social-environmental complexity of these water-saving methods. Guilan Province has thereby been classified into three priority levels, providing a straightforward understanding of how to promote the large-scale water-saving scheme. Compared with the traditional generalized method, sensitivity analysis verified that this DSS enhanced the information value. Hence, the DSS that provides more holistic and comprehensive support has been identified as a useful tool to ease the threat of urban water stress.

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“…In general, decision making can be defined as recognizing and choosing an alternative from a set of alternatives based on the preferences values of the decision-makers [16]. One method that is used usually in research as a decision making technique is the Multi-Objective Optimization Ratio Analysis (MOORA) Method [5]. The MOORA method was introduced by Brauers in 2004 [5].…”

mentioning

confidence: 99%

“…One method that is used usually in research as a decision making technique is the Multi-Objective Optimization Ratio Analysis (MOORA) Method [5]. The MOORA method was introduced by Brauers in 2004 [5]. This method is multi-criteria techniques which has five main steps: determining goals and identifying attributes or criteria, displaying all alternatives in the form using decision matrix, then normalizing the decision matrix and multiplying the matrix with each weight of criteria to produce a weighted normalization matrix, after that determine the value of preferences in each alternative by adding up all the criteria in benefit (beneficial attributes) and reduce them to the criteria that are non beneficial (non-beneficial attributes), and make a sequence or ranking based on the value of the highest preference to the lowest.…”

mentioning

confidence: 99%

“…This method is multi-criteria techniques which has five main steps: determining goals and identifying attributes or criteria, displaying all alternatives in the form using decision matrix, then normalizing the decision matrix and multiplying the matrix with each weight of criteria to produce a weighted normalization matrix, after that determine the value of preferences in each alternative by adding up all the criteria in benefit (beneficial attributes) and reduce them to the criteria that are non beneficial (non-beneficial attributes), and make a sequence or ranking based on the value of the highest preference to the lowest. The conclusion was the best alternative has the highest preference value while the worst alternative has a low preference value [5] [6].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Implementation of MOORA Method for Determining Prospective Smart Indonesia Program Funds Recipients

Zaitun¹,

Mustakim²,

Kamila³

et al. 2019

IJEAT

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 Abstract: Presidential Instruction No. 7 of 2014 mandates PIP to the Ministry of Education and Culture to summarize Indonesia Smart Card (KIP) and spread PIP funds to students that cannot afford to pay education. However, Indonesia Corruption Watch (2018) explained that the data used for the Smart Indonesia Program (PIP) was still inaccurate because almost half of the poor people with a percentage of 42.9% were not registered as participants in the Smart Indonesia Program (PIP). According to ICW, this is due to the data used for the process of determining the candidates for the Smart Indonesia Program recipients of the funds are still inaccurate and harming others who supposed to get funds. One method that usually used as a decision-making technique in the research is the Multi-Objective Optimization Ratio Analysis (MOORA) method which is a multi-criteria decision-making that has five main steps as a technique and it can be used to rank prospective PIP fund recipients based on the highest to the lowest preference values. The results of this studyindicate that the first rank with the highest value was 0.0539 and the last rank with the lowest value was 0.0211 so it used to ease the stakeholders to determine the amount of KIP recipients based on the preference values. This method can be applied for stakeholders needed in compared to monotonous data processing using estimates.

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New Methods and Applications in Multiple Attribute Decision Making (MADM)

Cited by 241 publications

References 0 publications

Location Optimization of CR Express International Logistics Centers

Location Optimization of CR Express International Logistics Centers

Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System

Implementation of MOORA Method for Determining Prospective Smart Indonesia Program Funds Recipients

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