Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

As an essential part of a city, community is significant to the sustainable development of the city. At present, research on community sustainability assessment systems is relatively scarce. The existing community sustainability assessment systems often lack integrated consideration of community sustainability. For example, these systems especially place emphasis on the ecological and environmental aspects, but the economic and social aspects of sustainability are partially ignored. In order to comprehensively evaluate the sustainability of a community, this paper draws on the "participatory philosophy" and constructs an integrated assessment indicator system that includes five dimensions: environment; economy; society; institution; and culture. On this basis, a new hybrid evaluation method based on analytical hierarchy process (AHP)-entropy weight and the cloud model is proposed to evaluate community sustainability. This method combines AHP and the entropy weight method to determine index weight, thus making full use of their respective advantages. At the same time, it makes use of the superiority of the cloud model to transform qualitative remarks into quantitative representations and to reflect fuzziness and randomness. To verify the feasibility of this method, a case study is carried out on the "Minxinjiayuan" public rental housing community in Chongqing, China. The results show that the overall sustainability of the community lies between the "middle" and "good" level, and closer to the "middle" level. The level of the economic and social sustainability is higher than that of the environmental, institutional and cultural sustainability.

Section: Cloud Modelmentioning

confidence: 99%

Section: Cloud Modelmentioning

confidence: 99%

Section: The Digital Eigenvalues Of the Cloudmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Sustainability Assessment of Public Rental Housing Community Based on a Hybrid Method of AHP-Entropy Weight and Cloud Model

Duan

Zuo

et al. 2017

“…It is used to empirically measure productive efficiency of decision-making units (DMUs). Moreover, the low-carbon economy performance evaluation by TFP has rapidly expanded to include carbon emission calculations [11][12][13], carbon emission influence analysis [14][15][16], industrial carbon emission [17][18][19][20], and carbon emission reduction [21][22][23][24]. Meanwhile, regional diversity plays a key role in the processing of low-carbon emission transformation.…”

Section: Literature Reviewmentioning

confidence: 99%

Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

Zhao

Zhong

2017

Abstract:The "New Normal" of Chinese economy represents the importance of economic performance. To analyze the provincial performance of the low-carbon economy in China, this paper constructed a three-stage dynamic Malmquist model considering the evolutionary promotion of productivity and technical progress. This paper incorporates the lag effect of capital accumulation into the performance evaluation to ensure transitivity and continuity. Furthermore, the inefficiency of the low-carbon economy arises from the disadvantages of resources endowments; therefore, it is necessary to eliminate these to evaluate managerial performance. This paper not only evaluates the provincial performance of the low-carbon economy but also suggests the sources and impetus of regional low-carbon economy development to find feasible transition paths. The empirical results reveal that the performance of the low-carbon economy presents a gradient distribution with obvious distinctions among the eastern, central, and western regions. Tianjin and Hebei should emphasize the optimal allocation of their own resources. Jiangxi and Hunan, by contrast, should focus on the perfection of the resources endowments.

“…In Zhang et al [44], a trust evaluation method based on the cloud model is proposed to detect malicious nodes and ensure security in clustered wireless sensor networks. Li et al [45] applied fuzzy AHP and the cloud model for energy utilization evaluation of carbon performance in public projects, and Zhao and Li [46] used the cloud model and fuzzy comprehensive evaluation method to evaluate the risk of ultra-high voltage projects. Furthermore, an uncertain linguistic group MCDM method and an interval-valued intuitionistic linguistic decision making method were proposed by Wang et al [47] and Wang et al [48], respectively, based on cloud model theory.…”

Section: Applications Of Cloud Model Theorymentioning

confidence: 99%

Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method

Wang

Liu

et al. 2017

Nowadays, companies have to improve their practices in the management of green supply chain with increased awareness of environmental issues worldwide. Selecting the optimum green supplier is crucial for green supply chain management, which is a challenging multi-criteria decision making (MCDM) problem. Moreover, while evaluating the performance of alternative suppliers, decision makers tend to determine their assessments using linguistic descriptors due to experts' vague knowledge and information deficiency. Therefore, this paper develops an integrated MCDM model based on the cloud model and QUALIFLEX (qualitative flexible multiple criteria method) approach to assess the green performance of companies under economic and environmental criteria. For the introduced model, the linguistic terms, expressed in normal clouds, are utilized to assess alternatives against each selection criterion. A linear programming model is established to compute the weights of criteria with unknown or incompletely known weight information. An extended QUALIFLEX approach is proposed and used to select the most suitable green supplier. Finally, the proposed green supplier selection method is demonstrated by an empirical example of an auto manufacturer to confirm its rationality and effectiveness.