City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

He, Xiaoqiong; Wu, Yinglong

doi:10.1155/2017/8306508

Cited by 7 publications

(3 citation statements)

References 80 publications

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“…The results of comprehensive evaluation of regional sustainable development are usually based on the establishment of evaluation index system reflecting social, economic, resource, environmental and institutions at various levels. Index weights are determined by the Delphi Method, analytic hierarchy process (AHP), Grey Relational Analysis and Principal Component Analysis (PCA) [3][4][5][6][7][8][9]. Then, the weighted average of index values is used to calculate evaluation results.…”

Section: Research Statusmentioning

confidence: 99%

Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

et al. 2018

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In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.

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Section: Research Statusmentioning

confidence: 99%

Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

et al. 2018

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“…He et al [80] demonstrated aggregation capabilities for INS utilizing the INWA operator and satisfied decision makers' needs using HMF-TODIM. The 2TLNNs TODIM methodology, which expands the TODIM method to the 2-tuple linguistic Neutrosophic fuzzy environment, is suggested by Wang et al [9] to provide the criteria values in issues involving multiple attribute group decision-making (MAGDM) utilizing the enhanced technique of 2-tuple linguistic Neutrosophic numbers (2TLNNs).…”

Section: Todimmentioning

confidence: 99%

Investigation of Industry 5.0 Hurdles and Their Mitigation Tactics in Emerging Economies by Todim Arithmetic and Geometric Aggregation Operators in Single Value Neutrosophic Environment

Deivanayagampillai,

Jacob,

Vellapalayam Manohar

et al. 2023

FU Mech Eng

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Industry 5.0 acceptance is accelerating, but research is still in its infancy, and existing research covers a small subset of context-specific obstacles. This study aims to enumerate all potential obstacles, quantitatively rank them, and assess interdependencies at the organizational level for Industry 5.0 adoption. To achieve this, we thoroughly review the literature, identify obstacles, and investigate causal relationships using a multi-criteria decision-making approach called single value Neutrosophic TODIM. Single-valued Neutrosophic sets (SVNS) ensembles are employed in a real-world setting to deal with uncertainty and indeterminacy. The suggested strategy enables the experts to conduct group decision-making by focusing on ranking the smaller collection of criterion values and the comparison with the decision-making trial and evaluation laboratory method (DEMATEL). According to the findings, the most significant hurdles are expenses and the funding system, capacity scalability, upskilling, and reskilling of human labor. As a result, a comfortable atmosphere is produced for decision-making, enabling the experts to handle an acceptable amount of data while still making choices.

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“…Lin et al [42] constructed a linear programming model to obtain priorities from HMPRs. Additionally, HMPRs have been widely utilized to handle various practical issues, such as the allocation of water conservancy investment of river basins [18,25], logistics service provider selection [42] and city sustainable development evaluation [43].…”

Section: Multiplicative Consistency Ascertaining Inconsistency Repairing and Weights Derivation Of Hesitant Multiplicative Preference Relmentioning

confidence: 99%

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

Chiclana

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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This paper investigates multiplicative consistency ascertaining, inconsistency repairing and weights derivation for hesitant multiplicative preference relations (HMPRs). Firstly, the completely multiplicative consistency and weakly multiplicative consistency of HMPRs are defined. Based on them, 0-1 mixed programming models and simple algebraic operations are proposed to ascertain the multiplicative consistency of HMPRs. Then, some goal programming models are developed to generate the weights from consistent HMPRs and to revise inconsistent HMPRs. An integrated procedure to manage the multiplicative consistencies of HMPRs is designed. The proposed methods are also extended to accommodate incomplete HMPRs, and to estimate missing values. Finally, some numerical examples, a comparative analysis with existent approaches, and a simulation analysis are included to illustrate the practicality and effectiveness of the developed models.

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City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

Cited by 7 publications

References 80 publications

Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

Investigation of Industry 5.0 Hurdles and Their Mitigation Tactics in Emerging Economies by Todim Arithmetic and Geometric Aggregation Operators in Single Value Neutrosophic Environment

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

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