Ensemble ranking: Aggregation of rankings produced by different multi-criteria decision-making methods

Mohammadi, Majid; Rezaei, Jafar

doi:10.1016/j.omega.2020.102254

Cited by 73 publications

(36 citation statements)

References 31 publications

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“…Overall, to present a consolidated picture of the various rankings and to arrive at a robust consensus ranking to choose the most feasible vehicle mode, the novel Ensemble Ranking [43] technique is adopted.…”

Section: Rationale For Methodology (Pestle Framework and Hybrid Multicriteria Model)mentioning

confidence: 99%

“…e final phase is the validation of the rankings for which the Ensemble Ranking procedure is adopted. e Ensemble Ranking technique is constructed from the above four methods (TOPSIS, Fuzzy TOPSIS, EDA, and IRP) using the methodology entailed in Mohammadi and Rezaei [43]. e weights computed above are also validated by domain experts in the field of transportation.…”

Section: Interpretivementioning

confidence: 99%

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An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Srivastava

Zhang

Eachempati

et al. 2021

Journal of Advanced Transportation

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The paper aims to build a hybrid personalized multicriteria model in the Indian transportation industry to identify the most feasible transport mode suitable for commuters’ customized preferences. A hybrid multicriterion model, i.e., Fuzzy Analytical Hierarchy Process (AHP), was used to compute the criteria weights, which were subsequently analyzed by three approaches, namely, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS, Evaluation Based on Distance from Average Solution (EDA), and Interpretive Ranking Process (IRP). The case of an Indian metropolitan city, Hyderabad, is taken to illustrate the proposed approach. The paper highlights the following transport modes: metropolitan train (unconventional mode) and conventional modes such as the car, public bus transport, and bikes for Hyderabad. Furthermore, sensitivity analysis is performed to identify the consistency in ranking with variation in weights, and the Ensemble Ranking and transportation experts validate the rankings.

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Section: Rationale For Methodology (Pestle Framework and Hybrid Multicriteria Model)mentioning

confidence: 99%

Section: Interpretivementioning

confidence: 99%

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Srivastava

Zhang

Eachempati

et al. 2021

Journal of Advanced Transportation

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“…One of the critical issues in MCDM is ranking a series of alternatives according to a series of factors. In this field, there exist numerous MCDM approaches that rank the alternatives in dissimilar ways [34]. This model is based on previous practice and is considered a suitable method for exploring a strategy to ensure the implementation of a legal AI bot.…”

Section: Developing a Map Based On An Integrated Mcdm Modelmentioning

confidence: 99%

Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

Lee

2020

Sustainability

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This study explores the implementation of legal artificial intelligence (AI) robot issues for sustainable development related to legal advisory institutions. While a legal advisory AI Bot using the unique arithmetic method of AI offers rules of convenient legal definitions, it has not been established whether users are ready to use one at legal advisory institutions. This study applies the MCDM (multicriteria decision-making) model DEMATEL (decision-making trial and evaluation laboratory)-based Analytical Network Process (ANP) with a modified VIKOR, to explore user behavior on the implementation of a legal AI bot. We first apply DEMATEL-based ANP, called influence weightings of DANP (DEMATEL-based ANP), to set up the complex adoption strategies via systematics and then to employ an M-VIKOR method to determine how to reduce any performance gaps between the ideal values and the existing situation. Lastly, we conduct an empirical case to show the efficacy and usefulness of this recommended integrated MCDM model. The findings are useful for identifying the priorities to be considered in the implementation of a legal AI bot and the issues related to enhancing its implementation process. Moreover, this research offers an understanding of users’ behaviors and their actual needs regarding a legal AI bot at legal advisory institutions. This research obtains the following results: (1) It effectively assembles a decision network of technical improvements and applications of a legal AI bot at legal advisory institutions and explains the feedbacks and interdependences of aspects/factors in real-life issues. (2) It describes how to vary effective results from the current alternative performances and situations into ideal values in order to fit the existing environments at legal advisory institutions with legal AI bot implementation.

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“…MCDM methods aim to find the solution among many different alternatives [11]. These approaches are quite helpful to solve the complicated problems while many different criteria have an influence on them.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

Zhong

Yüksel

et al. 2020

IEEE Access

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The purpose of this study is to determine appropriate innovative strategies for the renewable energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model is proposed based on interval type-2 (IT2) fuzzy sets and alpha cut levels. Within this context, hesitant IT2 fuzzy DEMATEL-Based Analytic Network Process (DANP) with alpha cut levels is applied for weighting the customer requirements. Moreover, hesitant IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) with alpha cut levels is used for ranking the TRIZ-based strategies priorities of renewable energy investments based on house of quality technique. These strategies are also ranked with hesitant IT2 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach to make a comparative evaluation. The results illustrate that ease of access and security are among the most prominent factors of customer requirements for renewable energy investments. It is also identified that innovative technical requirement entitled cushion in advance has the best choice for the sustainable renewable energy projects. Furthermore, the results of proposed model using hesitant IT2 fuzzy DANP and hesitant IT2 fuzzy TOPSIS are identical for the different levels of alpha cut. In addition, it is also defined that the results of hesitant IT2 fuzzy TOPSIS and hesitant IT2 fuzzy VIKOR are quite coherent. This is a clear evidence that the proposed model is coherent and could provide comprehensive results for the future studies. It is strongly recommended that a detailed analysis is required to identify the risks in renewable energy investment projects. Hence, necessary actions can be taken appropriately so that it can be possible to prevent problems before they grow.

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Ensemble ranking: Aggregation of rankings produced by different multi-criteria decision-making methods

Cited by 73 publications

References 31 publications

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

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