Research on Fuzzy Evaluation of Village Officials Based on Triangular Multiplication Preference Relationship Theory

Research on Vocation Education Performance Evaluation Based on Fuzzy Analysis

The development of urban underground space is a necessary way to realize the sustainable development of the city, and it is also an essential means to solve urban environmental problems such as traffic congestion and resource shortage. Scientific suitability evaluation is the prerequisite for the rational planning and development of underground space. Previous studies have encountered problems such as an imperfect index system, a single weighting method, and loss of membership degrees in fuzzy evaluation, which have led to unreasonable evaluation results. Taking the northern coastal cities of Weifang as the research area, the evaluation index system is established, and the index weights are calculated by the improved structural CRITIC. An improved fuzzy mathematical evaluation model based on the weighted summation method is proposed to carry out the suitability evaluation of underground space development in the research area. The results show that: (1) The proposed method of combination weight and improved fuzzy mathematics evaluation takes into account the scientific weight and avoids the subjective bias, and also corrects the issue of membership degree loss in the membership matrix of comprehensive evaluation. (2) When the area of the grid unit is 0.02% of the area of the research area, the size of the evaluation unit is more reasonable. (3) The area that is very suitable for underground space development accounts for 8.69%, and the more suitable area accounts for 25.55%, mainly located in the northwest and central–southern regions of the research area. It can provide a reference for the suitability evaluation of underground space development.

In view of the fuzziness and uncertainty of the combat effectiveness evaluation index of small bore naval gun, combined with AHP and fuzzy evaluation method, the combat effectiveness evaluation method of small bore naval gun is studied. Firstly, the main influencing factors of the combat effectiveness of small bore naval gun are analyzed, and the index system of combat effectiveness evaluation is established. Then, based on AHP and fuzzy evaluation theory, a fuzzy evaluation model of small bore naval gun combat effectiveness is established. Finally, an example is given to evaluate the combat effectiveness of a small bore naval gun. This method can effectively unify the qualitative and quantitative indexes in the evaluation indexes, and provide an effective method and way for the combat effectiveness evaluation of small bore naval gun.

The Fourth Nanjing Yangtze River Bridge (the Fourth Bridge) with the main span of 1418 m is the largest three‐span suspension bridge in China and the third largest in the world. The service circumstance of steel deck pavement on the Fourth Bridge is complex and severe, so that the scheme evaluation for steel deck pavement is a huge program. To rapidly and comprehensively evaluate the schemes for pavement, a fuzzy evaluation method was introduced in this paper. A three‐level logical assessment structure including 21 basic impact factors was built according to analytic hierarchy process (AHP), and the weight for each judgment matrix was determined by the Delphi method. Consequently, a fuzzy evaluation theory was used to value each scheme to propose the optimal one. Based on this method, four pavement schemes were evaluated to choose the optimal one, and the performance of the optimal scheme was highly corresponding to the practical engineering practice. The fuzzy evaluation method can supply a theoretical support to fast determine the scheme for long‐span steel deck pavement.

In order to make a comprehensive evaluation of many influencing factors on the site selection of nuclear power plants, and to make a quantitative judgment on the rank of candidate sites, a method of site selection based on analytic hierarchy process (AHP) and fuzzy evaluation is proposed. Firstly, based on the characteristics of design and research institute, the factors influencing the site selection of nuclear power plants are analyzed. The indicator of criterion layer and index layer influencing the site selection of nuclear power plant are determined based on specialty, and the decision-making system of site selection scheme is established. Secondly, based on AHP operation rules, the weights of system indicator are calculated. Thirdly, by determining the evaluation set, the evaluation matrix based on fuzzy theory was established, and the evaluation level of candidate sites was determined based on the principle of maximum membership degree. Finally, a practical nuclear power plant site selection project is used for theoretical verification. The candidate sites of nuclear power plants are ranked by the first and second level fuzzy comprehensive evaluation. The results show that the quantitative ranking of site based on AHP and fuzzy evaluation is consistent with the previous qualitative ranking of the project. The site selection method based on AHP -fuzzy evaluation is efficient.

A new evaluation method was proposed in order to improve the reliability of evaluation of special Skill in Mechanical Operation Field. It analyzed the relationship between the evaluation index and the operation skill, and built the fuzzy synthesis evaluation method according to the request and characteristic of the operation skill. Arrangement analysis method was used to determine weight of index for decreasing influence of subject factor. Fuzzy evaluation matrix was built based on fuzzy set transformation principle. Finally, a new fuzzy measure and evaluation system was designed.

BACKGROUND: In order to compare existing usability data to ideal goals or to that for other products, usability practitioners have tried to develop a framework for deriving an integrated metric. However, most current usability methods with this aim rely heavily on human judgment about the various attributes of a product, but often fail to take into account of the inherent uncertainties in these judgments in the evaluation process.OBJECTIVE: This paper presents a universal method of usability evaluation by combining the analytic hierarchical process (AHP) and the fuzzy evaluation method. By integrating multiple sources of uncertain information during product usability evaluation, the method proposed here aims to derive an index that is structured hierarchically in terms of the three usability components of effectiveness, efficiency, and user satisfaction of a product.METHODS: With consideration of the theoretical basis of fuzzy evaluation, a two-layer comprehensive evaluation index was first constructed. After the membership functions were determined by an expert panel, the evaluation appraisals were computed by using the fuzzy comprehensive evaluation technique model to characterize fuzzy human judgments. Then with the use of AHP, the weights of usability components were elicited from these experts.RESULTS AND CONCLUSIONS: Compared to traditional usability evaluation methods, the major strength of the fuzzy method is that it captures the fuzziness and uncertainties in human judgments and provides an integrated framework that combines the vague judgments from multiple stages of a product evaluation process.

With the rapid development of video websites, copyright management and the protection of online movies are facing severe challenges. With the strengthening of intellectual property protection, copyright value management has become necessary for the transformation of copyright value, which is of great significance for the healthy development of the industry. Based on the current development status of China’s online movie offerings, online movies were collected from China’s three major video platforms between 2016 and 2018 as research objects, and a set of scientific and effective online movie copyright value assessment methods and systems are proposed through the fuzzy comprehensive evaluation method, analytic hierarchy process, Delphi method, and empirical research. In this study, using data collected through a questionnaire survey, a fuzzy evaluation method is applied to establish the evaluation index of the copyright value of online movies. Moreover, according to the Delphi method, expert suggestions are collected, the indexes are scientifically corrected in the market, and the weights of the copyright value evaluation index of online movies both before and after broadcasting are calculated using the analytic hierarchy process. On this basis, by applying big data analysis, the communication effect index, prebroadcast value score evaluation index, and postbroadcast value evaluation index are deeply analyzed, and the copyright value evaluation model of online movies both before and after broadcasting is established. Finally, based on market feedback data, the evaluation models are revised and empirically tested to verify the scientificity and rationality of the copyright evaluation method proposed in this study. The results show that the proposed methods and systems for evaluating the copyright value of online movies are scientific and effective. This study provides new insights for all types of movie and television production organizations and video playback platforms on how to design effective copyright value evaluation models and practice methods for online movies.

According to the features of the customer service of third-party logistics, setting up its KPI system of customer service, and then use the fuzzy comprehensive evaluation to evaluate the service performance of third-party logistics enterprises based on the evaluation system, and finally use example to apply the Fuzzy Comprehensive Evaluation Model to the reality of the work of the enterprises, reflecting the usefulness of this method. Introduction Nowadays, the market competition has become more and more intense, in order to improve the core competitiveness of enterprises, the non-core business will be outsourced to those professional companies, thus forming the third-party logistics enterprises. In this article, we will use the fuzzy comprehensive evaluation method to evaluate the performance of third-party logistics. KPI system of service performance for third-party logistics enterprises A. KPI System of customer service or third-party logistics enterprises [1] According to services content of third-party logistics, we can divide the KPI system of customer service for third-party logistics into the following three areas: warehousing management, transportation management, financial settlement. 1) Warehousing management Through the understanding of all the links in warehouse operations, we can know that the indicator system of warehouse management can be evaluated in four aspects: inventory accuracy, warehousing accuracy, outputting accuracy, cargo damage rate. 2) Transportation management This indicator can be defined in six aspects: delivery timeliness, arrival timeliness, customer complaints, customer satisfaction, breakage rate, order fulfillment rate. 3) Financial settlement The financial settlement for other companies to evaluate their business service is an important indicator, which includes: settlement timeliness, settlement accuracy. Fig1 KPI system of quality of service The Establishment of Fuzzy Comprehensive Evaluation Model 2nd International Conference on Science and Social Research (ICSSR 2013) © 2013. The authors Published by Atlantis Press 703 A. The Definition of Fuzzy Comprehensive Evaluation Fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics, changing the qualitative evaluation into quantitative evaluation, which uses fuzzy mathematics to make an overall assessment for those objects restricted by many factors. . B. Establish Evaluation Indicator System Set M [3] In the service performance system of third-party logistics, we set its evaluation index system as below: M=(M1,M2,M3) M1: warehouse management ;M2:transportation management ;M3:financial settlement. And each indicator also contains second-level indicators: M1={M11(inventory accuracy),M12=(warehousing accuracy),M13= (outputting accuracy) ,M14= (cargo damage rate)}; M2={M21(delivery timeliness),M22(arrival timeliness),M23(customer complaints),M24(customer satisfaction) ,M25(breakage rate),M26(order fulfillment rate)}; M3= {M31(settlement timeliness),M32(settlement accuracy)}. C. Establish Evaluation Set N [4] It’s difficult to quantify the pollution levels, so we need to set up a group of fuzzy evaluation results for each second-level evaluation. For example, we can set up four fuzzy evaluation results for each evaluation: N1: A (excellent), N2: B (good), N3: C (average), N4: D (poor). D. To Determine the Weight Vector of each Indicator 1) The Weight Vector of First-Level Indicators Calculate the coefficient of the first-level indicators by the score, which makes up the first-level indicator vector, denoted by U={U1,U2, ,Um} ,Ui is the weight vector of first-level indicator Mi. U ∑ ∑ ∑ ∑ ∑ , Ui , ∑ U =1,i=1,2, ,m (1) 2) The Weight Vector of Second-Level Indicators Similarly, all the coefficients of second-level indicators make up the vector, denoted by Uij={Ui1, Ui2, ,Uin},Uij is the weight vector of second-level indicator Mij. U ∑ ∑ ∑ , Uij 0,∑ U =1,i=1,2, ,n (2) E. Establish Fuzzy Comprehensive Evaluation Matrix [5] After collecting large amount of questionnaires to their long-term business cooperation enterprises, getting the second-level fuzzy evaluation matrix Pk as follows: P a ⋯ a ⋮ ⋱ ⋮ a ⋯ a 0 a 1, ∑ a =1,i=1, 2, ,n. (3) a = (4) Getting the weight coefficient vector Uij of second-level indicators according to the formula, as Ni= U •Pk ,getting result vector: Ni= {bi1,bi2, ,bin} The matrix which was consisted of all the second-level result vectors is just the fuzzy evaluation matrix P: P= b ⋯ b ⋮ ⋱ ⋮ b ⋯ b Similarly, according to the fuzzy transformation formula N=Mi•Pi, getting the first-level indicators evaluation results vector N, denoted as N={b1,b2, ,bn}. Analysis of Numerical examples There is a thirdparty logistics company which wants to conduct an internal assessment of customer service, they conduct a survey for those 200 companies they have long-term cooperation, the findings are as follows:

Many kinds of uncertainties exist in in-situ structure performance assessment and damage detection in structure health monitoring (SHM). At present, most research in SHM field focuses on statistical analysis, data acquisition, feature extraction and data reduction. A method is introduced in the paper to improve pattern recognition and damage detection by supplementing intelligent structure health monitoring (ISHM) with fuzzy sets. Based on the developed method, a multi-class fuzzy comprehensive evaluation method (MFCEM) is used to identify the damage status of piezoelectric concrete frame structure during the service. First, a multi-level fuzzy comprehensive evaluation model and index system of the reinforced concrete frame structure is established according to the fuzzy evaluation theory. Second, the fuzzy evaluation matrix of the target system is obtained and the weight coefficient of index is reasonably determined. In the end, the evaluation result of each layer for the system is calculated by the fuzzy theory. In order to validate the proposed method, a two story reinforced concrete frame structure is built for the experimental research. Several pairs of smart aggregates (SA) used as transducers are embedded into the concrete frame structure. By analyzing the signal and combining with the developed

Fire risk is always very high on large public entertainment areas which contain a lot of people and facilities, and not only the big amount of the death and the wounded, but also the property lose would threaten the social safety. So it is important to analyze the fire risk assessment (FRA) on large public entertainment areas, the aim is to service the precaution methods and reduce fire risk. A kind of fuzzy multi-levels assessment index system of FRA on large public entertainment area is built in this article, and the fuzzy evaluation theory is utilized to evaluate different weights of the indices, the weights' data would contribute to the whole evaluation system. One kind of fuzzy comprehensive evaluation model and the method for determining evaluation levels are presented and practiced in real example, also the results of the example express the practicability of the evaluation model. Through theory analysis and real application, this fuzzy evaluation theory could be used in fire risk assessment on large public entertainment areas.

Objective Taking into account of the actual scientific research conducted at medical universities in Yunnan Province, Southwest China, to develop an appropriate evaluation index system of scientific research performance. Methods main methodologies and procedures adopted to develop the evaluation index system include literature analysis, Delphi method, Group Analytic Hierarchy Process and Expert authority calculation. Results The evaluation index system of scientific research performance consists of scientific research input index system and output index system. The scientific research input index system includes financial input and human resources input as two primary indicators.While the scientific research output index system is made up of two primary indicators, named quantitative output and qualitative output. There are another six second-level indicators, six third-level indicators and 37 fourth-level indicators to make up of the quantitative output index system. Calculation of the indicator weight will consider the natures of different units or departments, the mixed analysis of quantitative and qualitative methods, as well as one-vote veto decision were adopted to make sure classified assessment were actually implemented during the evaluation process. Conclusions The index system is suggested to be used for evaluating scientific research performance in different colleges or departments. Adopting such system can help the management of scientific research performances at both micro-and meso-levels.It may also inspire more researchers and research management personnel in a broader sense. Key words: Scientific research performance; Evaluation index system; Delphi; Multi-AHP

Aiming at the evaluation and screening of active power control methods for wind power cluster, a comprehensive evaluation method of active power control effect for wind power cluster based on the analytic hierarchy process (AHP) and fuzzy evaluation method is proposed in this paper. Firstly, the evaluation index system is established from three aspects: safety, economy and fairness. In terms of security and stability, frequency deviation rate, voltage deviation rate and cluster output fluctuation index reflecting power quality are proposed; in terms of operation economy, corresponding indexes are established considering cluster wind curtailment rate, grid line loss rate and thermal economy of thermal power plant; and in terms of fairness of power distribution within cluster, the concept of cluster deviation is introduced. On this basis, based on the fuzzy comprehensive evaluation method and the analytic hierarchy process, the active power control effect of wind power cluster is evaluated comprehensively. Finally, an example is given to verify the effectiveness of the comprehensive evaluation method described in this paper.

Product quality is impacted by design quality deeply. This paper discussed comprehensively the evaluation indices of design quality from product function and performance. Fuzzy evaluation method was used to evaluate the design quality. Factors set, weight set and evaluation matrix were established and evaluation model was chosen and solved. As an example, the design quality of mine disaster rescue vehicle detection system was shown. Firstly, the one grade fuzzy evaluation was done to the structure performance, task performance and the technology performance, and namely by using its results obtained the overall product quality evaluation matrix, and then completed the two grade fuzzy comprehensive evaluation.

A novel strategy by using relevance vector machine (RVM) coupled with fuzzy comprehensive evaluation method is proposed for the health evaluation of engine test-bed system. Based on our previous work, the concept of health reliability degree (HRD) is reviewed to indicate a quantitative health level from the perspectives of single parameter, some subsystems and the whole test-bed system. The relationship among multiple parameters are fully considered, which is different from traditional qualitative fault detection. The fuzzy evaluation method is used to evaluate the health condition of test-bed system under different fuzzy evaluating criterion sets. The HRD is calculated by using the RVM-based multi-variable fusion method. To verify the proposed strategy, a simulated experimental system is designed. The health evaluation of test-bed system with different health levels have been discussed under different working conditions. Results show that the proposed method provides a better solution to health evaluation of test-bed system.