scholarly journals Risk Aversion of Public Service Marketization Based on Fuzzy Analytic Hierarchy Process

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shoubin Qi ◽  
Junwen Feng
Keyword(s):  
Analytic Hierarchy Process ◽  
Flow Rate ◽  
Public Service ◽  
Public Services ◽  
Capital Flow ◽  
Fuzzy Analytic Hierarchy Process ◽  
Normal Operation ◽  
Analytic Hierarchy ◽  
The Public ◽  
Hierarchy Process

With the development of China’s economy, people’s demand for public services is increasing. While meeting the public better through marketization, it is also easy to lead to some risks. The purpose of this study is to use the fuzzy analytic hierarchy process (FAHP) to evaluate the risk of public service marketization and make effective measures to avoid it. This study selects the Public Gymnasiums in different districts of our city as the research object and selects one as the nationalized public service place and the other as the market-oriented public service place. In this study, the amount of service, service equipment, service supervision status, and people’s score under the situation of nationalization and marketization is used as the evaluation indexes of public service marketization. At the same time, combined with the fuzzy analytic hierarchy process (FAHP), the risks to the normal operation of the place after marketization are summarized. The results show that the turnover of the nationalized public service places is about 40 million yuan in the past five years, and the capital flow rate gradually decreases from 1.5%; while the market-oriented turnover reaches the maximum of 90 million yuan, the capital flow rate also rises to 2.21%. However, with the marketization, the scores are high and low. This shows that the marketization of public services leads to the improvement of service items and the increase of service charges. The conclusion is that the marketization of public services will have certain risks, but with the control and fine adjustment of enterprises, it is gradually supported by the public.

Public Service Evaluation Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 450-451 ◽  
pp. 672-675
Author(s):  
Rong Zou
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Service ◽  
Service Evaluation ◽  
Service Organization ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
The Public ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Public service evaluation based on fuzzy analytic hierarchy process is presented in the paper. Firstly, evaluation indexes of public service are analyzed,and the three-layer evaluation indexes structure is composed of these evaluation indexes of public service. A certain public service organization is employed to study the evaluation performance of the proposed fuzzy analytic hierarchy process method,and the evaluation values of second-level evaluation indexes are given.By analyzing based on fuzzy analytic hierarchy process,the evaluation values of the public service are given.The experimental results indicate that the evaluation level of the public service organization is consistent with the actual situation.

The Study on the Comprehensive Benefit of Public Buildings Based on Fuzzy Analytic Hierarchy Process

2013 ◽  
Vol 357-360 ◽  
pp. 2505-2509
Author(s):  
Qi Jian Guo ◽  
Feng Tian Hao ◽  
Zheng Wei Pan
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Public Buildings ◽  
Analytic Hierarchy ◽  
The Public ◽  
Research Status ◽  
Benefit Evaluation ◽  
Comprehensive Benefit ◽  
Hierarchy Process

According to the research status of the public buildings benefit evaluation, this thesis proposes that the evaluation should pay more attention to the comprehensive benefit. On this basis, a new evaluation model for the comprehensive benefit has been constructed by better using FAHP in this field, which has been proved by the Xuzhou Olympic Sports Center project. The research shows that applying FAHP to the public buildings benefit evaluation can make the result more reliable, which has good practicability and application value.

scholarly journals UTILIZATION OF F-AHP METHOD IN BRI FOR GIVING SELECTION OF KUR

Telematika ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 80
Author(s):  
Meiyanto Eko Sulisyo ◽  
Ristu Saptono
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Fuzzy Analytic Hierarchy Process ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
The Public ◽  
Hierarchy Process

Bank Rakyat Indonesia (BRI) is a business entity which collects funds from the public in the form of deposits and distribute to the public in the form of the People 's Business Credit (KUR) or loan. Along with over time after KUR realized, there is no doubt BRI will be faced with the problems of risk, namely the risk of KUR problematic. There are several methods that can be used in making a decision to be able to solve the problem include the Analytical Hierarchy Process (AHP).AHP is used when the decision involves many factors, where the decision had difficulty in making the weight of each factor. Despite this problem the use of AHP in Multiple Criteria Decision Making (MCDM) approach has less to cope with uncertainties taken by decision-makers, when it should give a definite value in the pairwise comparison matrix therefore, to overcome the weaknesses of the existing AHP then developed a method namely Fuzzy Analytic Hierarchy Process (F-AHP). F-AHP method is the combination between fuzzy AHP approach. The results of research conducted using the Fuzzy Analytic Hierarchy Process (F-AHP) has a 100 % accuracy this is evidenced by the results obtained together with the calculation of banking. Calculation banking mention of 20 customers, acquired 14 accepted and rejected 6.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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