Hesitant Fuzzy Linguistic Dnma Method With Cardinal Consensus Reaching Process for Shopping Mall Location Selection

Nie, Song; Liao, Huchang; Wu, Xin; Tang, Ming; Al-Barakati, Abdullah

doi:10.3846/ijspm.2019.10851

Cited by 8 publications

(2 citation statements)

References 34 publications

(39 reference statements)

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“…Very recently, Lai and Liao (2021) proposed a CRITIC objective weighting method based DNMA with D numbers to evaluate blockchain platforms. Besides, Wu et al (2020), Nie et al (2019), , and Wang and Rani (2021) applied it successfully in different fields.…”

Section: Dnmamentioning

confidence: 99%

Evaluating Economic Freedom via a Multi-Criteria Merec-Dnma Model-Based Composite System: Case of Opec Countries

Ecer

Zolfani

2022

Technological and Economic Development of Economy

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Economic freedom indicators create a beneficial and suitable guide and a crucial reference for investors, policymakers, lenders, and market researchers worldwide. In light of these indicators, the economic freedom performances of countries can be determined. The Heritage Foundation annually releases a ranked list of the country based on their performance in terms of fourteen economic freedom criteria with equal weights through a simple aggregation approach. According to an average-based aggregator, equal weight of economic freedom criteria and calculating rank of countries cannot be a completely reliable approach. Thus, this work establishes a composite index system in the form of a decision support system that employs the method based on the removal effects of criteria (MEREC) and the double normalization-based multi-aggregation (DNMA) to specify the economic freedom levels of the OPEC countries. MEREC obtains the importance weights of indicators without the interference of any stakeholder or decision-makers. Afterward, DNMA, as a novel ranking multi-criteria method, is applied to sort countries based on their performance against all economic freedom criteria. This is the first attempt in the literature to calculate the index of economic freedom utilizing an integrated multi-criteria decision support model. Whereas “investment freedom” is the most significant indicator of economic freedom, the UAE is in the best position in terms of economic freedom among OPEC countries. A fourphased sensitivity control is also performed so as to verify the robustness and usefulness of the developed decision tool.

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Section: Dnmamentioning

confidence: 99%

Evaluating Economic Freedom via a Multi-Criteria Merec-Dnma Model-Based Composite System: Case of Opec Countries

Ecer

Zolfani

2022

Technological and Economic Development of Economy

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“…Thus, it can flexibly and reliably solve MCDM problems compared with the TOPSIS, VIKOR and MULTIMOORA methods [26]. It has been integrated with PLTSs [25], rough numbers [27], and hesitant fuzzy sets [28,29] to handle the uncertain information and solve the problems of green enterprise ranking [25,27], early lung cancer screening [28], and shopping mall location selection [29]. Nevertheless, the original DNMA method cannot handle the unreliable information.…”

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confidence: 99%

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.Sustainability 2020, 12, 3410 2 of 17 future generations to meet their own needs" [2]. Sustainability requires sustainable business practices. For doing so, information systems play an important role in the organization transition towards sustainability initiatives. The sustainable information systems have been considered as an opportunity for organizations to improve productivity, reduce costs, and increase profitability [3]. The flexible, elastic and agile nature of cloud computing provides an opportunity for governmental, academic and business organizations to consider migrating their existing applications to cloud environments to make their business processes agile with minimal cost and management effort [4]. Due to the increase in the number of cloud service providers (CSPs) offering functionally similar cloud services with varying cost, features and quality, it becomes extremely complex and burdensome to select a dependable, scalable, sustainable and high cost-effective cloud service for consumers to fulfil and satisfy their requirements and business strategies. There is a pressing need of comprehensive techniques to help them for the sustainable CSP development [5,6].Sustainable CSP development can be formulated as a multicriteria decision-making (MCDM) problem [5]. It involves the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and experts for selecting the trustworthy CSPs. Moreover, the CSP evaluation data often involves uncertain, unreliability, multi-scale and imprecise weights of quality of service (QoS)...

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An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant

Mishra¹,

Rani²,

Saha³

et al. 2023

Heliyon

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Hesitant Fuzzy Linguistic Dnma Method With Cardinal Consensus Reaching Process for Shopping Mall Location Selection

Cited by 8 publications

References 34 publications

Evaluating Economic Freedom via a Multi-Criteria Merec-Dnma Model-Based Composite System: Case of Opec Countries

Evaluating Economic Freedom via a Multi-Criteria Merec-Dnma Model-Based Composite System: Case of Opec Countries

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant

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