The Comprehensive Evaluation for Nuclear Facility Decommissioning Scheme Based on AHP-DEA Method

Author(s):  
Lu Bai ◽  
Yong-kuo Liu ◽  
Nan Chao

In view of the lack of research on decommissioning scheme selection of nuclear facilities and the inability to directly use the evaluation model of existing non-radioactive environment construction schemes. In this paper, propose a task analytic method in radiation field based on AHP-DEA model, which takes accomplishment the task safety as the decision-making target. The evaluation model can both reflect the decision preference of experts and improve the rationality of evaluation by mathematical calculation. The experimental results show that the proposed model has obvious advantages for program selection and can be applied to the evaluation and optimization of decommissioning scheme.

2011 ◽  
Vol 225-226 ◽  
pp. 407-410 ◽  
Author(s):  
Wan Qing Li ◽  
Mu Jie Chen ◽  
Wen Qing Meng

An unascertained measure-entropy evaluation model for the program selection of shaft construction under complex conditions is established so that a scientific and effective decision making method is provided in this paper, the evaluation model of shaft construction is established based on unascertained measure and entropy weight theory, then, the model proposed in this paper is applied to evaluate three shaft construction program comprehensively, and the evaluation results show validity and applicability of the model.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chien-Chang Chou

The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.


2014 ◽  
Vol 933 ◽  
pp. 941-946
Author(s):  
Xi Chen ◽  
Xiao Ning Zhu

In view of logistics resources integration, this paper introduces an evaluation method of logistics network infrastructure in railway logistics enterprises. The comprehensive evaluation model is established according to the aspects which demonstrate several key indexes and the relationship between them. To illustrate the effectiveness of the above method and the application of the proposed model, a case is studied that verifies the importance of the research in the logistics theory and practice. It presents an evaluation criteria and evaluation model of logistics infrastructure network. The computational results indicate that the evaluation method in selected case is in decent rank.


2013 ◽  
Vol 732-733 ◽  
pp. 782-788
Author(s):  
Jing Hao Chen ◽  
Wen Ying Liu ◽  
Wei Zheng ◽  
Chen Liang

A model for optimally evaluating grid short-circuit current limitation measures is proposed. Based on the fuzzy comprehensive evaluation model, a comprehensive evaluation system is introduced to consider the limiting effect and economy of the limiting measures configure program, also the program's impact on system security is involved. A judgment matrix is constructed to determine the weights of different system layers. With fuzzy behavior indices and membership function being led into, the evaluation of configuration program is given. Taking Gansu power grid for example, the feasibility and practicality of the proposed model are verified by simulation results.


2013 ◽  
Vol 361-363 ◽  
pp. 954-957
Author(s):  
Xiao Ping Zhang ◽  
Wen Jie Xu ◽  
Wei Guo Chen

The defects of present fuzzy comprehensive evaluation model based on interval value are pointed out. To improve these defects, a new calculation method of fuzzy membership degree is provided and a fuzzy comprehensive evaluation model based on interval number distance is built. This model is applied to Lake Dongchang. And it can be indicated that the proposed model is reasonable and practical.


2005 ◽  
Vol 291-292 ◽  
pp. 157-162 ◽  
Author(s):  
Hong Zhong Huang ◽  
Yong Hua Li ◽  
L.-H. Xue

Grinding machining quality contains machining precision and grinding surface integrality. The factors influencing grinding machining quality have fuzzy characteristics. For example, the magnitude and measure methods of grinding surface roughness have fuzzy uncertainties. The grades of the machining quality are vague, and there is no definite boundary between “good” and “bad” machining quality. Analytical Hierarchy Process (AHP) combined with the fuzzy comprehensive evaluation technique is used to evaluate the grade condition of the quality in this paper. Considering the fuzziness of the factors, a two-stage fuzzy comprehensive evaluation model is proposed to evaluate the grinding machining quality. In light of different reliable degrees of different kinds of fuzzy operator models, the weighted average method is used. The membership degrees of the evaluation factors are determined by experts’ knowledge and experiences. The factor weights are calculated via the AHP method. Certain synthetic importance of each stage evaluation is presented through weighted sum of the relative important degree. Examples of conventional external grinding machining illustrate the effectiveness of the proposed model.


2012 ◽  
Vol 18 (1) ◽  
pp. 164-188 ◽  
Author(s):  
Mohammad Majid Fouladgar ◽  
Abdolreza Yazdani-Chamzini ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini

Selection of the working strategy is a critical problem and it plays a significant role in the success of organization development. On the other hand, selecting the most appropriate working strategy among a pool of alternatives is a multi-criteria decision making (MCDM) problem. Since every working strategy has its benefits and costs and may bring a company different opportunities and risks, which kind of working strategy is the most appropriate for a company to accomplish is a sophisticated and complex decision with a high degree of uncertainty. Therefore, the current paper proposed an integrated evaluation model based on the analytic network process (ANP) and the complex proportional assessment (COPRAS), to help the decision makers or managers with the selection of proper working strategy in a fuzzy environment where the fuzziness and uncertainties are handled with linguistic terms parameterized by triangular fuzzy numbers (TFNs). In this paper fuzzy ANP (FANP) is utilized to take into account interdependence and dependencies and determine the importance weights of benefit, opportunities, cost and risk (BOCR) factors, and fuzzy COPRAS is applied to rank the alternatives. To show the potential application of the proposed model, a real world application is conducted to illustrate the use of the proposed model for the working strategy selection problem. The results show the capability and effectiveness of the proposed model.


Author(s):  
Dong Huo

AbstractThe selection of basketball players should highlight their specific characteristics and proceed according to the essential laws of basketball. When the acquired training level becomes closer and closer, and is more and more conducive to the control of the entire training and competition, the selection of the standard paradigm of basketball players plays a key role. At present, the existing evaluation methods of basketball players are limited to the human experience of coaches, and there is a lack of further information evaluation methods. This article discusses a new type of basketball player evaluation scheme that combines wireless network and machine learning methods. First, the wireless sensor network is used to perceive basketball players' performance on the court and record various evaluation indicators. Secondly, establish a player value evaluation model through improved Bayesian algorithm and fuzzy comprehensive evaluation methods. Finally, after relevant tests and comparisons with the coaches' results, the model showed better evaluation results and a fairer value distribution.


2011 ◽  
Vol 378-379 ◽  
pp. 512-517
Author(s):  
Min Ding ◽  
Yi Yan ◽  
Yong Xing Zhang

The selection of bracing system for a deep excavation is a quite complex system engineering which relates to many target factors of safety and feasibility, economy and rationality, construction period, convenience of construction and environmental protection. In order to avoid the casualness in determining subjective weight by traditional fuzzy analytic hierarchy process evaluation, taking information entropy into consideration, the comprehensive evaluation model was established. This model is proved to be reasonable and effective by an engineering example.


2013 ◽  
Vol 796 ◽  
pp. 567-572 ◽  
Author(s):  
Li Jing ◽  
Chen Chao

To establish the evaluation model of the garment fabric, the method of fuzzy system theory was used to value the the mechanical properties of one bias cut garment’s the fabric and improved gray correlation degree analysis was used to calculate the weight of each properties index. The subjective judgment on fabric was quantitatively processed, which further refine the complex optimal selection of fabric problem and provided a new way for the optimization of garment fabrics.


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