China's overcapacity industry evaluation based on TOPSIS grey relational projection method with mixed attributes

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiumei Hao ◽  
Mingwei Li ◽  
Yuting Chen
Keyword(s):  
Decision Making ◽  
Projection Method ◽  
Evaluation Method ◽  
Nonferrous Metals ◽  
Variation Method ◽  
Interval Numbers ◽  
Content Type ◽  
Automobile Manufacturing ◽  
The Government ◽  
Grey Relational

PurposeThis paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.Design/methodology/approachFirst, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information are converted into two-dimensional interval numbers and triangular fuzzy numbers, and an evaluation matrix is constructed and normalized. This paper uses the AHP method to determine the subjective weights and uses the coefficient of variation method to determine the objective weights. Moreover, this paper sets up the optimization model with the largest comprehensive evaluation value to determine the combined weights. Finally, the TOPSIS grey relational projection method is proposed to calculate the closeness of grey relational projections and to rank them.FindingsThis paper analyzes the problem of overcapacity in seven industries with the TOPSIS grey relational projection method. The results show that the four industries of automobile manufacturing, textile, coal and petrochemical are all in serious overcapacity levels, while the three industries of steel, nonferrous metals and electric power are relatively in weak overcapacity level in the three years of 2016–2018. TOPSIS grey relational projection method ranks the overcapacity degree of the seven major overcapacity industries, making the relative overcapacity degree of each industry more clear and providing a reference for the government to formulate targeted policies and measures for each industry.Practical implicationsBy using TOPSIS grey relational projection method to evaluate the overcapacity of the seven major overcapacity industries, on the one hand, it makes the relative overcapacity degree of each industry more clear, on the other hand, it can provides the basis for the government and decision-making departments. This helps them promote better the healthy and orderly economic development of the seven major industries and avoid resource waste caused by overcapacity.Originality/valueThis article solves the single evaluation method caused by the limited indicators in the past, combines TOPSIS and the grey relational projection method and applies it to the overcapacity evaluation of the industry, not only applies it to the evaluation of overcapacity for the first time but also involves novel problems and methods, which expands the scope of application of the model.

Projection Method for Material Selection Problem with Interval Numbers

2014 ◽  
Vol 1022 ◽  
pp. 14-17 ◽  
Author(s):  
Lian Wu Yang
Keyword(s):  
Decision Making ◽  
Projection Method ◽  
Coefficient Of Variation ◽  
Material Selection ◽  
Influence Factors ◽  
Selection Problem ◽  
Variation Method ◽  
Interval Numbers ◽  
Decision Method ◽  
Multi Attribute Decision Making

Material selection problem is important for the product design, and contains many influence factors. Thus it is actually a multi-attribute decision making (MADM) problems. The aim of this paper is to propose a new decision method based on the projection method for the material selection problem, in which attribute values expressed with interval numbers. An objective determining weights method is proposed according to coefficient of variation method. A practical example is used to illustrate the effectiveness and practicability of the proposed method.

The use and non-use of the government financial report by Maltese Members of Parliament

2018 ◽  
Vol 31 (4) ◽  
pp. 1124-1144 ◽  
Author(s):  
Josette Caruana ◽  
Brady Farrugia
Keyword(s):  
Decision Making ◽  
Information Overload ◽  
Qualitative Interviews ◽  
Financial Reports ◽  
Content Type ◽  
Financial Report ◽  
Members Of Parliament ◽  
The Government ◽  
And Performance ◽  
Questionnaire Research

Purpose The purpose of this paper is to examine the use and non-use of the Government Financial Report by Maltese Members of Parliament (MPs). It refers to information overload theory to analyse the gap between financial reports and their relevance for decision making. Design/methodology/approach A mix of qualitative (interviews) and quantitative (questionnaire) research tools are applied, with the Maltese MPs being the research participants. This method is acclaimed to be comprehensive, but this study highlights certain disadvantages when applied in the political arena. Findings The characteristics of the information itself could be the main cause of information overload, resulting in the non-use of the financial report for decision making. Politicians refer to financial data for their decision making, but not to the data presented in the financial report. Irrespective of the politician’s professional background, the data in the financial report is perceived as incomplete and outdated. Practical implications The cause of information overload and its effects are important considerations for preparers of financial information and accounting standard setters, if they wish that their production is relevant for decision makers. Originality/value There is an increase in research concerning politicians’ use of budgetary and performance information, at local and regional levels of government. This study investigates exclusively the use of the financial report by politicians at central level, in a politically stable environment.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

Grey assessment and prediction of the financial agglomeration degree in central five cities

2014 ◽  
Vol 4 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Li Li ◽  
Guo-hui Hu
Keyword(s):  
Decision Making ◽  
Scientific Development ◽  
Fuzzy Decision Making ◽  
Grey Prediction ◽  
Fuzzy Decision ◽  
Content Type ◽  
Multiple Dimension ◽  
The Government ◽  
Development Tendency ◽  
Decision Making Model

Purpose – At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities. Design/methodology/approach – According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model. Findings – The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities. Practical implications – From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making. Originality/value – The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

A comparative analysis of grey ranking approaches

2019 ◽  
Vol 9 (4) ◽  
pp. 472-487 ◽  
Author(s):  
Davood Darvishi ◽  
Jeffrey Forrest ◽  
Sifeng Liu
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Partial Order ◽  
Design Methodology ◽  
Total Order ◽  
Interval Numbers ◽  
Content Type ◽  
Important Decision ◽  
Grey Number ◽  
Order Kernel

Purpose Ranking and comparing grey numbers represent a very important decision-making procedure in any given grey environment. The purpose of this paper is to study the existing approaches of ordering interval grey numbers in the context of decision making by surveying existing definitions. Design/methodology/approach Different methods developed for comparing grey numbers are presented along with their disadvantages and advantages in terms of comparison outcomes. Practical examples are employed to show the importance and necessity of using appropriate methods to compare grey numbers. Findings Most the available methods are not suitable for pointing out which number is larger when the nuclei of the grey numbers of concern are the same. Also, these available methods are also considered in terms of partial order and total order. Kernel and degree of greyness of grey numbers method is more advantageous than other methods and almost eliminates the shortcomings of other methods. Originality/value Different methods for ranking grey numbers are presented where each of them has disadvantages and advantages. By using different methods, grey interval numbers are compared and the results show that some methods cannot make grey number comparisons in some situations. The authors intend to find a method that can compare grey numbers in any situation. The findings of this research can prevent errors that may occur based on inaccurate comparisons of grey numbers in decision making. There are various research studies on the comparison of grey numbers, but there is no research on the comparison of these methods and their disadvantages, advantages or their total or partial order.

Multi-objective mathematical model based on fuzzy hybrid multi-criteria decision-making and FMEA approach for the risks of oil and gas projects

2020 ◽  
Vol 18 (6) ◽  
pp. 1997-2016
Author(s):  
Mohammad Khalilzadeh ◽  
Rose Balafshan ◽  
Ashkan Hafezalkotob
Keyword(s):  
Decision Making ◽  
Oil And Gas ◽  
Programming Model ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Multi Objective ◽  
Response Strategies ◽  
Fuzzy Environment ◽  
Comprehensive Framework ◽  
Grey Relational

Purpose The purpose of this study is to provide a comprehensive framework for analyzing risk factors in oil and gas projects. Design/methodology/approach This paper consists of several sections. In the first section, 19 common potential risks in the projects of Pars Oil and Gas Company were finalized in six groups using the Lawshe validation method. These factors were identified through previous literature review and interviews with experts. Then, using the “best-worst multi-criteria decision-making” method, the study measured the weights associated with the performance evaluation indicators of each risk. Consequently, failure mode and effects analysis (FMEA) and the grey relational analysis (GRA)-VIKOR mixed method were used to rank and determine the critical risks. Finally, to assign response strategies to each critical risk, a zero-one multi-objective mathematical programming model was proposed and developed Epsilon-constraint method was used to solve it. Findings Given the typical constraints of projects which are time, cost and quality, of the projects that companies are often faced with, this study presents the identified risks of oil and gas projects to the managers of the oil and gas company in accordance with the priority given in the present research and the response to each risk is also suggested to be used by managers based on their organizational circumstances. Originality/value This study aims at qualitative management of cost risks of oil and gas projects (case study of Pars Oil and Gas Company) by combining FMEA, best worst and GRA-VIKOR methods under fuzzy environment and Epsilon constraints. According to studies carried out in previous studies, the simultaneous management of quantitative and qualitative cost of risk of oil and gas projects in Iran has not been carried out and the combination of these methods has also been innovated.

Grey relational decision making model of three-parameter interval grey number based on AHP and DEA

2019 ◽  
Vol 10 (1) ◽  
pp. 25-37
Author(s):  
Bingjun Li ◽  
Xiaoxiao Zhu
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Agriculture Industry ◽  
Parameter Interval ◽  
Grey Number ◽  
Index Weight ◽  
Decision Making Model ◽  
Grey Relational ◽  
Grey Relation

Purpose The purpose of this paper is to put forward the grey relational decision-making model of three-parameter interval grey number based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA), based on the previous study of grey relational decision-making model, and it considers the advantages of the decision-making schemes and the subjective preferences of decision makers. Design/methodology/approach First of all, through AHP, the preference of each index is analyzed and the index weight is determined. Second, the DEA model is adopted to obtain the index weight from the perspective of the most beneficial to each scheme and objectively reflect the advantages of different schemes. Then, assign the comprehensive weights to each index of the grey relational decision-making model of three-parameter interval grey number, and calculate the grey relation degree of each scheme to rank the schemes. Findings The effectiveness of the model is proved by an example of carrier aircraft selection. Practical implications The applicability of this model is analyzed by taking carrier aircraft selection as an example. In fact, this model can also be widely used in agriculture, industry, economy, society and other fields. Originality/value In this paper, the combination of AHP and DEA is used to determine the index weight. Based on which, the grey relation degree under the three-parameter interval grey number is calculated. It intended the application space of the grey relational decision-making model.

HDZ leader could supplant Croatia's non-party premier

2016 ◽  
Keyword(s):  
Decision Making ◽  
Public Debt ◽  
Social Situation ◽  
Content Type ◽  
Reform Agenda ◽  
The Public ◽  
Nationalist Party ◽  
Ethnic Tensions ◽  
The Government ◽  
Uncertain Outcomes

Significance The package could be the government's swan song. One coalition party, the centre-right Bridge (Croatian: Most) of Independent Lists, strongly supported a reform agenda from the beginning, but Croatia's main nationalist party, the Croatian Democratic Union (HDZ), did not. This, in addition to key appointments, has become a major point of dispute between them, blocking decision-making. HDZ leader Tomislav Karamarko has been frustrated in his ambition to control the government and especially the security apparatus. Impacts Political instability could cause further political and ethnic tensions, with uncertain outcomes. Persistent deadlock will worsen Croatia's parlous economic and social situation. Instability could frustrate consolidating Croatia's exit from its six-year recession in 2015 and reducing the public debt from 87% of GDP.

A case study exploring FM components for elderly in care and attention homes using post occupancy evaluation

Facilities ◽  
2014 ◽  
Vol 32 (11/12) ◽  
pp. 685-708 ◽  
Author(s):  
Mei-yung Leung ◽  
Jingyu Yu ◽  
Chen Dongyu ◽  
Ting Yuan
Keyword(s):  
Evaluation Method ◽  
End Users ◽  
Facilities Management ◽  
Ageing Society ◽  
Subjective Data ◽  
Content Type ◽  
Post Occupancy Evaluation ◽  
Care Services ◽  
Actual Environment ◽  
The Government

Purpose – The paper aims to investigate the key components of facilities management (FM) in care and attention (C & A) homes from the end users’ perspective based on a post-occupancy evaluation method. Hong Kong is a rapidly ageing society. Elderly population may reach 24.3 per cent in the next 20 years, causing an increase in the demand for care services. Therefore, it is necessary to provide sufficient and satisfactory residential C & A homes with appropriate facilities for our elderly. Design/methodology/approach – To collect subjective data from end users, a questionnaire survey was conducted in 119 respondents consisting of both elderly residents and staff of the C & A homes. To further understand the actual situations, site measurements were also used to collect the objective data from the representative homes. Findings – The results indicate that three aspects of key FM components, namely, architect, building services and supporting, all have significant relationships with the overall satisfaction. The site measurements further revealed the actual environment of the seven C & A homes, especially the contrasts between homes with highest scores (Homes E and F) and lowest scores (B and D). Practical implications – To provide a clear picture to the government and construction professionals, a number of practical recommendations were proposed, such as sufficient space with single or couple bedrooms, sufficient corridor width for two people in wheelchairs and white or pink as the colour scheme in architectural aspect; sufficient lighting, central air conditioning system and adequate quantities of natural fresh air in the building service aspect; and frequently updated menus, door lock and CCTV system for supporting facilities. Originality/value – This paper applied site measurement on the representative homes to cross-check the quantitative results. The findings of this study can assist architects and facilities managers in C & A homes to improve FM services during the design and operational stages for improving the satisfaction levels of elderly residents.

Unions could hamper new Tunisian unity government

2016 ◽  
Keyword(s):  
Decision Making ◽  
Political Parties ◽  
Economic Crisis ◽  
Content Type ◽  
Labour Unions ◽  
Political Processes ◽  
The Government ◽  
Work Stoppages

Significance Representatives of leading political parties and the two largest labour unions are negotiating proposals for a unity government. President Beji Caid Essebsi accused the ruling coalition -- comprised of Nidaa Tounes, Ennahda, Afek Tunis and the Free Patriotic Union (UPL) -- in early June of "failing to meet the country's needs", and urged it to join with the main labour unions and opposition forces to overcome divisions and set new priorities. Impacts Political dysfunction is likely further to discredit the government, political processes, and politicians. Continued delays in decision-making will further the economic crisis. Strikes and work stoppages will keep plaguing the country without an agreement with the unions.

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