Evaluation and selection of clustering methods using a hybrid group MCDM

Barak, Sasan; Mokfi, Taha

doi:10.1016/j.eswa.2019.07.034

Cited by 47 publications

(22 citation statements)

References 56 publications

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“…The basic method whose results were further subjected to statistical verification was TOPSIS, which is a multiple-criteria decision-making (MCDM) method [52,53]. Multicriteria decision-making has become a rapidly growing concept in the last decade, reflecting constant changes in individual sectors of the economy [54].…”

Section: Hypothesismentioning

confidence: 99%

Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic

2020

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Sustainability is a particularly crucial factor in policy formulation and analysis, including in the EU’s common agricultural policy. The common agricultural policy, through a subsidy policy, has caused a significant proportion of public funding to flow to agricultural subsidies, so it is appropriate to focus on the effect of these subsidies in the context of the sustainable development of EU agriculture. The impact of agricultural subsidies on business performance is of interest to policy makers. In agrarian practice, insufficient attention is paid to the legal form of agricultural performance, so our economic analysis focused on this area of research. The aim of the paper was to evaluate the effect of financial support in the form of subsidies resulting from the EU’s common agricultural policy and to verify its connection with the performance of agricultural enterprises in terms of the legal form in the context of sustainable development of the agricultural sector in Slovakia. No statistically significant linear correlation was found between farms’ performance results and the volume of subsidies per hectare of agricultural land for each legal form throughout the reporting period. In each analyzed year, business companies achieved a better overall assessment than agricultural cooperatives based on monitored parameters.

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Section: Hypothesismentioning

confidence: 99%

Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic

2020

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“…Final ranks imply that the notion of the best alternative, given a set of criteria and information about the ordinal ranking of the alternatives, can be essentially considered as arbitrary voting methods. These methods include plurality [22], majority method (instant or two-round runoff) [23], pairwise comparison (Condorcet paradox or Copeland method) [24] and Borda rank [25]. Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

et al. 2020

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Telemedicine is increasingly used in the modern health care system because it provides health care services to patients amidst distant locations. However, the prioritisation process for patients with multiple chronic diseases (MCDs) over telemedicine is becoming increasingly complex due to diverse and big data generated from multiple disease conditions. To solve such a problem, massive datasets must be collected, and high velocity must be acquired, specifically in real-time processing. This process requires decision-making (DM) regarding the emergency degree of each chronic disease for every patient. Multi-criteria decisionmaking (MCDM) approaches (i.e. direct aggregation, distance measurement and compromise ranking) are the main solutions for dealing with this complex situation. However, each MCDM approach provides a unique rank from those of other methods. By far, the preferred DM approach that can provide an ideal rank better than other approaches has not been established. This study proposes an extension of the technique for reorganising opinion order to interval levels (TROOIL). Such an extension is called Hybrid DM and Voting Method (HDMVM) which is based on different DM approaches (i.e. direct aggregation, distance measurement and compromise ranking). HDMVM is used to prioritise big data of patients with MCDs in real-time through the remote health-monitoring procedure. In this paper, we propose a methodology that is based on three sequential stages. The first stage illustrates how the big data of patients with MCDs can be recognised in the telemedicine environment and identifies the target telemedicine tier in this study. The second stage describes the steps of the proposed HDMVM sequentially. The third stage applies the proposed method by prioritising the case study of big data of patients with MCDs based on the above DM approaches. Moreover, dataset of remote patients with MCDs (n = 500) is adopted, which contains three diseases, namely, chronic heart diseases and high and low blood pressures. The prioritisation results vary among direct aggregation, distance measurement and compromise approaches. The proposed HDMVM effectively provides a uniform and final ranking result for big data of patients with MCDs. A statistical method (i.e. mean) is performed to objectively validate the ranking results. Significant differences between the scores of the groups are identified in the objective validation, signifying identical ranking results. The evaluation of the proposed work with the benchmark study indicates that this study has tackled issues relevant to big data and diversity of MCDM approaches in the prioritisation of patients with MCDs.

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“…Step 5: Computation of the limiting super-matrix. We could acquire the limit of each super-matrix relative sorting vector by Equation (10). If the limit was convergent and unique, the value of the corresponding row of the original matrix was the weight of each index.…”

Section: Evaluating the Weights Of The Criteria Using Anpmentioning

confidence: 99%

An Integrated MCDM Approach to Train Derailment Risk Response Strategy Selection

Zhang

Sun

2019

Symmetry

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Train derailment can mainly cause not only economic losses in the shape of mangled rolling stock or infrastructure, but also more severely in causalities and disruptions of operations, yielding great impact on the sustainable development of railway industry. Considering various complex and symmetrical operational environments, as well as the characteristics of low frequency and high consequences of derailment accidents, risk response is undoubtedly underlined as one of the most critical components of risk management process. However, in practice, risk response does not receive enough attention in comparison with risk assessment that it lacks mature models and tools for selecting optimal strategy. This study constructs an integrated Multi Criteria Decision-Making (MCDM) model for the selection of optimum train derailment risk response strategy for the first time. In the model, decision making trial and evaluation laboratory (DEMATEL) technology is connected with analytical network process (ANP) to obtain evaluation criteria and their relative weights, and both of the two methods can deal with the complex coupling relationship between the indicators in the system. Then, technique for order performance by similarity to ideal solution (TOPSIS) is proposed to screen the optimum plan in the proposed model. Further, the Delphi method is used through the whole process to acquire expert advice. In the end, this model is used to select shunting derailment risk response strategies in Huangyangcheng station, and the final results demonstrate that this technology is simple and practical, and can provide a credible and practical tool for railway safety managers and engineers to choose the best risk response strategy.

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Evaluation and selection of clustering methods using a hybrid group MCDM

Cited by 47 publications

References 56 publications

Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic

Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic

A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

An Integrated MCDM Approach to Train Derailment Risk Response Strategy Selection

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