An innovative index system and HFFS-MULTIMOORA method based group decision-making framework for regional green development level evaluation

Si, Luo; Liu, Jun

doi:10.1016/j.eswa.2021.116090

Cited by 27 publications

(11 citation statements)

References 51 publications

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“…• The FFSs can be combined with other information, for instance, the probabilistic interval-valued hesitant fuzzy [89]; and can evaluation and selection of smart city waste management systems under FFS information with other decision-making method, such as MULTIMOORA [90], [91], COPRAS [92] and others. However, the proposed study is unable to deal with the new generation of smart applications with more complex sets of heterogeneous information, data, systems, sensors, devices, etc.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

Mishra¹,

Rani

Saha

et al. 2022

IEEE Access

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This study proposes a systematic methodology of the adoption of Internet of Things (IoT) barriers (IoTBs) that exist in the waste management structures of smart cities (SCs) in growing economies likely India. A hybrid multi-attribute decision-making (MADM) is applied and has recognized 15 IoTBs from literature and experts opinions obstructing the IoT adoption in SCs of India. The different IoTBs are studied using the similarity measure-based new weighting approach, and the combined compromise solution (CoCoSo) method. Considering that Fermatean fuzzy sets (FFSs) can represent this uncertainty, this paper proposes a decision-making framework for waste management system solutions based on the FFSs and builds a complete evaluation index system. Herein, we first combine the Archimedean Copula operations and Archimedean operations and term them as 'generalized Archimedean Copula operations' for FFSs. Based on these new operations, we develop the Fermatean fuzzy generalized Archimedean copula weighted averaging (FFGACWA) and Fermatean fuzzy generalized Archimedean copula weighted geometric (FFGACWG) operators. Then, we construct a decision algorithm based on FFWGAAC and FFWGGAC operators. Second, we propose new weighting procedure based on similarity measure to discuss the significance degree of IoTBs. Further, we apply this method to the evaluation and selection of a methodology of IoTBs in smart cities' waste management (SCWM) assignments, and prove the effectiveness of this method. The algorithm can represent the Fermatean fuzzy information in a complex environment. It cannot only consider the uncertainty of the decision-makers (DMEs) when giving the evaluation value but also synthesize the relationship between any numbers of evaluation criteria. Finally, the superiority of the methodology is discussed by sensitivity analysis and comparative study. The results show that the method can effectively handle the decision-making problems in complex environments. This paper will assist the representatives, stakeholders and government to know the importance of IoTBs affecting waste management processes, and it will certainly help them to take judgments for exterminating the IoTBs for an effective IoT employment in SCWM assignments.

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Section: Discussionmentioning

confidence: 99%

Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

Mishra¹,

Rani

Saha

et al. 2022

IEEE Access

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“…Further, Mishra et al [ 38 ] built up the COPRAS method with extended interval-valued hesitant Fermatean fuzzy theories in order to choose an optimal desalination technology. Luo and Liu [ 39 ] presented hesitant FFS and constructed a novel regional green development assessment model by combining hesitant FFS and MULTIMOORA.…”

Section: Introductionmentioning

confidence: 99%

Fermatean Fuzzy Schweizer–Sklar Operators and BWM-Entropy-Based Combined Compromise Solution Approach: An Application to Green Supplier Selection

Wei

Meng

Run-zhang

et al. 2022

Entropy

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The Fermatean fuzzy set (FFS) is a momentous generalization of a intuitionistic fuzzy set and a Pythagorean fuzzy set that can more accurately portray the complex vague information of elements and has stronger expert flexibility during decision analysis. The Combined Compromise Solution (CoCoSo) approach is a powerful decision-making technique to choose the ideal objective by fusing three aggregation strategies. In this paper, an integrated, multi-criteria group-decision-making (MCGDM) approach based on CoCoSo and FFS is used to assess green suppliers. To begin, several innovative operations of Fermatean fuzzy numbers based on Schweizer–Sklar norms are presented, and four aggregation operators utilizing the proposed operations are also developed. Several worthwhile properties of the advanced operations and operators are explored in detail. Next, a new Fermatean fuzzy entropy measure is propounded to determine the combined weight of criteria, in which the subjective and objective weights are computed by an improved best-and-worst method (BWM) and entropy weight approach, respectively. Furthermore, MCGDM based on CoCoSo and BWM-Entropy is brought forward and employed to sort diverse green suppliers. Lastly, the usefulness and effectiveness of the presented methodology is validated by comparison, and the stability of the developed MCGDM approach is shown by sensitivity analysis. The results shows that the introduced method is more stable during ranking of green suppliers, and the comparative results expound that the proposed method has higher universality and credibility than prior Fermatean fuzzy approaches.

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“…Green development is a development concept dominated by ecological values and ecological ethics, which includes economic greening, coordinated social development, environmental greening and the guarantees of government regulation (Guo et al, 2021; Liu et al, 2022; Luo & Liu, 2022; Wang & Zhang, 2012). Therefore, this paper establishes an indicator system based on the four dimensions of green development and adds the dimension of the greening of tourism resources.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the green development level of tourism in ecological conservation areas: A case study of Beijing

Chengcai

Zheng

Zhong

2022

Sustainable Development

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The excessive speed of development for tourism seriously restricts the sustainable development of ecological conservation areas (ECAs). In this study, we take Beijing's ecological conservation area (BECA) as the study area, and construct the model of the green development level of tourism (GDLT) in ECAs to measure and analyze the spatial–temporal evolution and factors influencing of GDLT in BECA. Our results demonstrate that the GDLT in BECA continued to rise from 2011 to 2017, but the spatial distribution was unbalanced. The main factors influencing GDLT in BECA have been the endowment level of green tourism resources and the construction level of the regional ecological civilization. The new method to measure GDLT in ECAs presented here can provide reference for the green development of tourism in ECAs. The findings can construct the theory of the green development of tourism in ECAs, and enrich the theory of tourism geography and tourism ecology from the perspective of the green development concept.

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An innovative index system and HFFS-MULTIMOORA method based group decision-making framework for regional green development level evaluation

Cited by 27 publications

References 51 publications

Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

Fermatean Fuzzy Schweizer–Sklar Operators and BWM-Entropy-Based Combined Compromise Solution Approach: An Application to Green Supplier Selection

Evaluation of the green development level of tourism in ecological conservation areas: A case study of Beijing

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