Study on urbanization process evaluation and provincial comparison

2014 ◽  
Vol 4 (1) ◽  
pp. 13-23
Author(s):  
Ye Li ◽  
Meng Qin
Keyword(s):  
Henan Province ◽  
Evaluation Index System ◽  
Cluster Method ◽  
General Level ◽  
Clear Understanding ◽  
Urbanization Process ◽  
Urbanization Level ◽  
Content Type ◽  
Clustering Model ◽  
Fixed Weight

Purpose – This paper aims to evaluate the stage and level of Henan province urbanization and provide basis for decision making. Design/methodology/approach – At first, build the evaluation index system which includes 17 indexes in four classes so that can reflect the level of urbanization development of the entire region comprehensively. Then build the gray clustering model based on set pair. On this basis, the paper evaluates the urbanization process in Henan province. In order to get a clear understanding of the urbanization level in Henan province, the paper selects several typical provinces and compares them with Henan province in urbanization process. Findings – The results show that the urbanization level in Henan province belongs to the general level; there is a gap in urbanization process between Henan province and other advanced provinces. Practical implications – The paper put forward a method to evaluate the urbanization process in Henan province and get a clear understanding of the urbanization level in Henan province. Originality/value – The paper combines the set pair analysis and the gray fixed weight cluster method based on triangular whiten weight function, which can avoid the defect that the assessment result is too vague and the difference is not significant.

Evaluation of auto parts remanufacturing by grey cluster model

2016 ◽  
Vol 6 (3) ◽  
pp. 296-308 ◽  
Author(s):  
Jianghui Xin
Keyword(s):  
Index System ◽  
Cluster Model ◽  
Coefficient Matrix ◽  
Clustering Coefficient ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Content Type ◽  
Fixed Weight ◽  
Grey Clustering ◽  
Auto Parts

Purpose With the improvement of economic level, car ownership is growing, and the number of scrapped automobiles is increasing. Therefore, evaluation research for auto parts remanufacturing is particularly important. The purpose of this paper is to construct the evaluation index system of auto parts remanufacturing and research the grey clustering theory. The grey fixed weight clustering evaluation is used to evaluate automobile engine remanufacturability. Design/methodology/approach According to the policies and regulations of China about remanufacturing, economic, technical, resources, energy and the environment, four indexes are selected to set up the evaluation standard of auto parts remanufacturing scheme. Grey fixed weight clustering method is used to evaluate remanufacturability of the auto parts. Firstly, number index and grey determine the whitenization weight function, then based on the clustering weight of each index, the clustering coefficient matrix is calculated. Finally, the class that certain object belongs to, according to the clustering coefficient matrix is determined. Findings Results show that constructed indexes of auto parts remanufacturing scheme can be used for effective evaluation. And the proposed fixed weight grey cluster model can aggregate all indexes information well. Therefore, the proposed indexes and model in this paper are effective and can be used for auto parts remanufacturing. Practical implications According to the requirements of the current situation in China, this paper puts forward a method based on grey clustering decision, to evaluate different auto parts remanufacturing schemes, for manufacturing enterprises to provide theoretical basis for remanufacturing production, in order to realize the reasonable configuration of resources. Originality/value This paper firstly establishes the evaluation index system of auto parts remanufacturing, the grey clustering theory is introduced into the evaluation of remanufacturing. The fixed-weight grey cluster model is proposed to aggregate indexes’ information.

Grey cluster evaluation models based on mixed triangular whitenization weight functions

2015 ◽  
Vol 5 (3) ◽  
pp. 410-418 ◽  
Author(s):  
Si-feng Liu ◽  
Yingjie Yang ◽  
Zhi-geng Fang ◽  
Naiming Xie
Keyword(s):  
Weight Function ◽  
Evaluation Model ◽  
Weight Functions ◽  
The Novel ◽  
Content Type ◽  
Clustering Model ◽  
Cluster Evaluation ◽  
Fixed Weight ◽  
Variable Weight ◽  
Evaluation Models

Purpose – The purpose of this paper is to present two novel grey cluster evaluation models to solve the difficulty in extending the bounds of each clustering index of grey cluster evaluation models. Design/methodology/approach – In this paper, the triangular whitenization weight function corresponding to class 1 is changed to a whitenization weight function of its lower measures, and the triangular whitenization weight function corresponding to class s is changed to a whitenization weight function of its upper measures. The difficulty in extending the bound of each clustering indicator is solved with this improvement. Findings – The findings of this paper are the novel grey cluster evaluation models based on mixed centre-point triangular whitenization weight functions and the novel grey cluster evaluation models based on mixed end-point triangular whitenization weight functions. Practical implications – A practical evaluation and decision problem for some projects in a university has been studied using the new triangular whitenization weight function. Originality/value – Particularly, compared with grey variable weight clustering model and grey fixed weight clustering model, the grey cluster evaluation model using whitenization weight function is more suitable to be used to solve the problem of poor information clustering evaluation. The grey cluster evaluation model using endpoint triangular whitenization weight functions is suitable for the situation that all grey boundary is clear, but the most likely points belonging to each grey class are unknown; the grey cluster evaluation model using centre-point triangular whitenization weight functions is suitable for those problems where it is easier to judge the most likely points belonging to each grey class, but the grey boundary is not clear.

Research on safety evaluation of civil aircraft based on the grey clustering model

2018 ◽  
Vol 8 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Bentao Su ◽  
Naiming Xie
Keyword(s):  
Safety Assessment ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Safety Level ◽  
Content Type ◽  
Aircraft Manufacturing ◽  
Clustering Model ◽  
Grey Clustering ◽  
Civil Aircraft

Purpose The purpose of this paper is to construct a grey clustering model based on the nonlinear whitenization weight function and to assess the safety of civil aircraft by using a quantitative method. Design/methodology/approach According to the running stage of civil aircraft safety assessment issues, first the civil aircraft safety evaluation index system is constructed by using a qualitative method. Taking the information duplication between indicators, the grey relational analysis method is used to filter the key indicators, then the grey clustering evaluation model of nonlinear whitening right function is built to evaluate the safety of civil aircraft and the algorithm steps of the evaluation model are given. Finally, the model is validated by collecting the parameters of nine different civil aircrafts at home and abroad. Findings The results show that the safety level of different types of aircraft is different due to the different index parameters, and to some extent, explain the rationality and scientificity of the method proposed in this paper to solve the problem. Practical implications This paper gives a complete set of security assessment methods, which can be used to evaluate the security of civil aircraft in the operational phase quantitatively, scientifically and reasonably. Furthermore, it can be extended to other complex system security or stability assessment issues. Originality/value It not only provides the supplement and perfection of the safety assessment method in the theoretical system to a certain extent, but also provides a theoretical guidance to solve the problem of civil aircraft system safety assessment of civil aircraft manufacturing enterprise all over the world. At the same time, the nonlinear grey clustering evaluation model constructed in this paper is an improvement of the traditional model, which is, to some extent, the improvement of the grey clustering evaluation theory.

Drought grade assessment method based on grey cloud incidence clustering model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dang Luo ◽  
Yan Hu ◽  
Decai Sun
Keyword(s):  
Decision Making ◽  
Cloud Model ◽  
Henan Province ◽  
Maximum Deviation ◽  
Content Type ◽  
Risk Levels ◽  
Clustering Model ◽  
Subjective Weight ◽  
Drought Disaster ◽  
Grey Number

PurposeThe purpose of this paper is to establish a grey cloud incidence clustering model to assess the drought disaster degree under 15 indexes in 18 cities of Henan province.Design/methodology/approachThe grey incidence degree between each index and ideal index is used to determine the index weight and combined with the subjective weight, the comprehensive weight is given; the traditional possibility function is transformed into grey cloud possibility function by using the principle of maximum deviation and maximum entropy, which fully reflects the coexistence of multiple decision-making conclusions and constructs the grey cloud incidence clustering model.FindingsThe drought disaster degree of Henan province is divided into four grades under the selected 15 indexes. The drought grades show obvious regional differences. The risk levels of the east and southwest are higher, and the risk levels of the north and southeast are lower. This result is consistent with the study of drought disaster grades in Henan province, which shows the practicability and usefulness of the model.Practical implicationsIt provides an effective method for the assessment of drought disaster grade and the basis for formulating disaster prevention and mitigation plan.Originality/valueBy studying the method of multiattribute and multistage decision-making with interval grey number information. The objective weight model of index value is designed, and the subjective weight is given by experts. On the basis of the two, the comprehensive weight of subjective and objective combination is proposed, which effectively weakens the randomness of subjective weight and reasonably reflects the practicality of index decision-making. The time weight reflects the dynamic of the index. The traditional possibility function is transformed into the grey cloud possibility function, which effectively takes advantage of the grey cloud model in dealing with the coexistence of fuzzy information, grey information and random information. Thus, the conflict between the decision-making results and the objective reality is effectively solved. The interval grey number can make full use of the effective information and improve the accuracy of the actual information.

Two-stage grey cloud clustering model for drought risk assessment

2019 ◽  
Vol 10 (1) ◽  
pp. 68-84 ◽  
Author(s):  
Dang Luo ◽  
Manman Zhang ◽  
Huihui Zhang
Keyword(s):  
Henan Province ◽  
Clustering Coefficient ◽  
Drought Risk ◽  
Two Stage ◽  
Content Type ◽  
Clustering Model ◽  
Kernel Clustering ◽  
Grey Clustering ◽  
Coefficient Vector ◽  
Two Stages

Purpose The purpose of this paper is to establish a two-stage grey cloud clustering model to assess the drought risk level of 18 prefecture-level cities in Henan Province. Design/methodology/approach The clustering process is divided into two stages. In the first stage, grey cloud clustering coefficient vectors are obtained by grey cloud clustering. In the second stage, with the help of the weight kernel clustering function, the general representation of the weight vector group of kernel clustering is given. And a new coefficient vector of kernel clustering that integrates the support factors of the adjacent components was obtained in this stage. The entropy resolution coefficient of grey cloud clustering coefficient vector is set as the demarcation line of the two stages, and a two-stage grey cloud clustering model, which combines grey and randomness, is proposed. Findings This paper demonstrates that 18 cities in Henan Province are divided into five categories, which are in accordance with five drought hazard levels. And the rationality and validity of this model is illustrated by comparing with other methods. Practical implications This paper provides a practical and effective new method for drought risk assessment and, then, provides theoretical support for the government and production departments to master drought information and formulate disaster prevention and mitigation measures. Originality/value The model in this paper not only solves the problem that the result and the rule of individual subjective judgment are always inconsistent owing to not fully considering the randomness of the possibility function, but also solves the problem that it’s difficult to ascertain the attribution of decision objects, when several components of grey clustering coefficient vector tend to be balanced. It provides a new idea for the development of the grey clustering model. The rationality and validity of the model are illustrated by taking 18 cities in Henan Province as examples.

A novel grey fixed weight cluster model based on interval grey numbers

2017 ◽  
Vol 7 (2) ◽  
pp. 156-167 ◽  
Author(s):  
Jing Ye ◽  
Yaoguo Dang
Keyword(s):  
Weight Function ◽  
Cluster Model ◽  
Medical Science ◽  
Grey System Theory ◽  
Central Point ◽  
Content Type ◽  
Model Based ◽  
Clustering Model ◽  
Fixed Weight ◽  
Grey Clustering

Purpose Nowadays, evaluation objects are becoming more and more complicated. The interval grey numbers can be used to more accurately express the evaluation objects. However, the information distribution of interval grey numbers is not balanced. The purpose of this paper is to introduce the central-point triangular whitenization weight function to solve the clustering process of this kind of numbers. Design/methodology/approach A new expression of the central-point triangular whitenization weight function is presented in this paper, in terms of the grey cluster problem based on interval grey numbers. By establishing the integral mean value function on the set of interval grey numbers, the application range of grey clustering model is extended to the interval grey number category, and, in this way, the grey fixed weight cluster model based on interval grey numbers is obtained. Findings The model is verified by a case which reveals a high distinguishability, validity and practicability. Practical implications This model can be used in many fields, such as agriculture, economy, geology and medical science, and provides a feasible method for evaluation schemes in performance evaluation, scheme selection, risk evaluation and so on. Originality/value The central-point triangular whitenization weight function is introduced. The method reflects the thought “make full use of the information” in grey system theory and further enriches the system of grey clustering theory as well as expands the application scope of the grey clustering method.

scholarly journals Grey Clustering Evaluation for the Cooperation Efficiency of PPP Project: Taking Beijing Metro Line 4 as an Example

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Hui Sun ◽  
Yingzi Liang ◽  
Yuning Wang
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
The Public ◽  
Clustering Model ◽  
Grey Clustering ◽  
Public Products ◽  
Infrastructure Project

PPP model is an important model which provides public products or services based on the coordination between the public sector and private sector. The implementation of PPP model is helpful for relieving the stress of insufficient funding for public sector and improving the efficiency of resource allocation. Comparing with traditional infrastructure project, PPP project involves many stakeholders, and the cooperation efficiency during the different stakeholders impacts the results of the project directly. Thus, it is important to explore the cooperation efficiency of PPP project. Based on grey clustering model, this paper evaluates the cooperation efficiency of PPP project. An evaluation index system including 36 indexes is established based on the aims and objectives of three stakeholders (public sector, private sector, and passengers). A case study of Beijing Metro Line 4 PPP project is implemented to verify the validity and applicability of the evaluation model. And the results showed that the cooperation efficiency of Beijing Metro Line 4 PPP project is relatively high. The model also provided insights into the shortage of the cooperation efficiency of Beijing Metro Line 4 PPP project. As such, the results can assist all stakeholders in adjusting the cooperation efficiency.

An investigation into the role of enterprise information systems in enabling business innovation

2015 ◽  
Vol 21 (4) ◽  
pp. 771-790 ◽  
Author(s):  
Luay Anaya ◽  
Mohammed Dulaimi ◽  
Sherief Abdallah
Keyword(s):  
Information Systems ◽  
Case Studies ◽  
United Arab Emirates ◽  
Clear Understanding ◽  
Business Practices ◽  
Enterprise Information ◽  
Content Type ◽  
Enterprise Information Systems ◽  
Business Innovation

Purpose – The purpose of this paper is to articulate clear understanding about the role of enterprise information systems (EIS) in developing innovative business practices. Particularly, it aims to explore the different ways that make EIS enables innovation development. Design/methodology/approach – The study adopted exploratory case study, based on qualitative approach. Investigations included two case studies each involved interviewing a number of senior information technology staff, working at these cases. Findings – The paper provides empirical insights about the EIS role in enabling innovation. The analysis of the case studies revealed that integrating an EIS with other system(s) or with digital devices can provide new practices that could not be easily available without these technologies. The study also found that applying data analytics tools into data accumulated from EIS, to extract new insights, lead to innovative practices. Practical implications – The study provides a set of recommendations for organizations interested to maximize the benefits from their investments in EIS. Originality/value – The paper provides evidences from cases in United Arab Emirates for the EIS role in enabling business innovation.

The identity crisis of sustainable development

2014 ◽  
Vol 11 (1) ◽  
pp. 4-15 ◽  
Author(s):  
Catalin Ratiu ◽  
Beverlee B. Anderson
Keyword(s):  
Sustainable Development ◽  
Design Methodology ◽  
Identity Crisis ◽  
Primary Data ◽  
Future Research ◽  
Clear Understanding ◽  
Content Type ◽  
The Public ◽  
Larger Sample ◽  
Practical Implications

Purpose – There are many different conceptualizations to sustainable development and these different approaches may have led to confusion amongst the public. The purpose of this paper is to explore the identities of the term and how the confused identity may be leading to problems for sustainable development efforts. Design/methodology/approach – The design is exploratory, using both secondary and primary data to understand the different sustainable development concepts. Findings – There is no consistent understanding or use of the term “sustainable development” among various groups. Research limitations/implications – Future research should include a larger sample that is more representative of people from different backgrounds and geographical areas. Practical implications – The public is generally willing to support only projects that it understands. Without a clear understanding of sustainable development, the public will be less inclined to support these efforts. Originality/value – This study examines the perceptions and understandings of the term by the general public representing different generations.

Does the hiring of chief risk officers align with the COSO/ISO enterprise risk management frameworks?

2017 ◽  
Vol 25 (3) ◽  
pp. 274-295 ◽  
Author(s):  
Erastus Karanja
Keyword(s):  
Risk Management ◽  
Enterprise Risk Management ◽  
Clear Understanding ◽  
Press Releases ◽  
Apparent Lack ◽  
Content Type ◽  
Business Operations ◽  
Enterprise Risk ◽  
The Press ◽  
Iso 31000

Purpose There are two main industry-sanctioned enterprise risk management (ERM) models, that is, COSO 2004 and ISO 31000:2009, that firms refer to when implementing ERM programs. Taken together, the two ERM models specify that firms should implement ERM programs to meet a strategic need, improve operations and reporting or to comply with government regulations or industry best practices. In addition, the focus of ERM implementation should be either the subsidiary, business unit, division, firm/entity or global level. The purpose of this study is to investigate whether firms are aligning their ERM implementations with these tenets: strategy, operations, reporting, compliance and the level of implementation. Design/methodology/approach The proxy for ERM implementation is the hiring of a Chief Risk Officer (CRO). The research data come from a sample of 122 US firms that issued a press release following the hiring of a CRO between 2010 and 2014. The press releases were retrieved and aggregated through content analysis in LexisNexis Academic. Findings The results reveal that many ERM implementations are occurring at the firm/entity level, and with the exception of reporting, firms consider ERM to be a strategic firm resource capable of improving business operations and compliance initiatives. Originality/value There is a dearth of research studies specifically investigating whether ERM programs adopted by firms are aligned with the specification of COSO 2004 and ISO 31000:2009 frameworks. The apparent lack of a clear understanding of the alignment between the firm ERM programs and the industry’s ERM frameworks may limit the development and implementation of ERM and the eventual realization of the benefits associated with a successful ERM implementation.

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