The Experts below are selected from a list of 1029498 Experts worldwide ranked by ideXlab platform
Jingnan Sun - One of the best experts on this subject based on the ideXlab platform.
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entropy method for determination of weight of evaluating indicators in fuzzy synthetic Evaluation for water quality assessment
Journal of Environmental Sciences-china, 2006Co-Authors: Zhihong Zou, Yi Yun, Jingnan SunAbstract:Considering the difficulty of fuzzy synthetic Evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight Evaluation Process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic Evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original Evaluation method, the method predigested the fuzzy synthetic Evaluation Process greatly and the Evaluation results are more reasonable.
Bohui Pang - One of the best experts on this subject based on the ideXlab platform.
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assessment of supplier performance based on tfn ahp method
International Conference on Wireless Communications Networking and Mobile Computing, 2008Co-Authors: Bohui PangAbstract:In order to ensure the uninterrupted supply of items, the suppliers' performance needs to be evaluated periodically. But the Evaluation Process is complex. Linguistic assessment of suppliers may be carried out based on several criteria. Much of the data are difficult to obtain and ambiguous or vague to interpret. In this paper, a model based on the AHP and basic theory of the trigonometrical fuzzy number (TFN) was given and corresponding Evaluation Process was described. The importance weights of various criteria and the ratings of qualitative criteria are considered as linguistic variables. These linguistic ratings can be expressed in triangular fuzzy numbers. Compared with the AHP, the proposed model combines subjective analysis with quantitative analysis more reasonably, synthesizes group opinions more adequately. Finally a case was applied to qualify its scientific and feasibility.
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multi criteria supplier Evaluation using fuzzy ahp
International Conference on Mechatronics and Automation, 2007Co-Authors: Bohui PangAbstract:In order to ensure the uninterrupted supply of items, the suppliers' performance needs to be evaluated periodically. The Evaluation Process typically consists of identifying the attributes and factors relevant to the decision, and measuring the performance of a supplier by considering the relevant factors. But the Evaluation Process is complex. Linguistic assessment of suppliers may be carried out based on several criteria. Much of the data are difficult to obtain and ambiguous or vague to interpret. Nonetheless, a rational Process of Evaluation must exist to select the most appropriate suppliers. This paper proposes fuzzy comprehensive method for evaluating the suppliers based on AHP. The method combines AHP and fuzzy theory and provides a comprehensive evolution method for choosing partner of supply chain. Finally a case was applied to qualify its scientific and feasibility.
Zhihong Zou - One of the best experts on this subject based on the ideXlab platform.
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entropy method for determination of weight of evaluating indicators in fuzzy synthetic Evaluation for water quality assessment
Journal of Environmental Sciences-china, 2006Co-Authors: Zhihong Zou, Yi Yun, Jingnan SunAbstract:Considering the difficulty of fuzzy synthetic Evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight Evaluation Process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic Evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original Evaluation method, the method predigested the fuzzy synthetic Evaluation Process greatly and the Evaluation results are more reasonable.
Xiao Chen - One of the best experts on this subject based on the ideXlab platform.
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modeling and evaluating iaas cloud using performance Evaluation Process algebra
Asia-Pacific Conference on Communications, 2016Co-Authors: Jie Ding, Leijie Sha, Xiao ChenAbstract:Infrastructure as a Service (IaaS) is a service mode of cloud, which provides Virtual Machines (VMs) to customers. With the increasingly fierce competition in market, cloud providers pay more attention to Quality of service (Qos). As the practical measurement costs a large amount of resource, deriving performance metrics from analytical model is a good choice. Recently, Stochastic Petri Net (SPN) has been used to construct analytical models, but they lack the ability to exhibit hierarchies of IaaS cloud. Compare to SPN, Performance Evaluation Process Algebra (PEPA) has the feature of compositionality, which imports the hierarchial strategy into the semantics. So, PEPA models of IaaS cloud are closed to actual architecture and can be more easily accepted by engineers. This paper provides a PEPA model of IaaS cloud and gives some numerical results.
Yi Yun - One of the best experts on this subject based on the ideXlab platform.
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entropy method for determination of weight of evaluating indicators in fuzzy synthetic Evaluation for water quality assessment
Journal of Environmental Sciences-china, 2006Co-Authors: Zhihong Zou, Yi Yun, Jingnan SunAbstract:Considering the difficulty of fuzzy synthetic Evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight Evaluation Process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic Evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original Evaluation method, the method predigested the fuzzy synthetic Evaluation Process greatly and the Evaluation results are more reasonable.
