Geological adaptability matching design of a disc cutter is the prerequisite of cutter head design for tunnel boring machines(TBMs)and plays an important role in improving the tunneling efficiency of TBMs.The main pur...Geological adaptability matching design of a disc cutter is the prerequisite of cutter head design for tunnel boring machines(TBMs)and plays an important role in improving the tunneling efficiency of TBMs.The main purpose of the cutter matching design is to evaluate the cutter performance and select the appropriate cutter size.In this paper,a novel evaluation method based on multicriteria decision making(MCDM)techniques was developed to help TBM designers in the process of determining the cutter size.The analytic hierarchy process(AHP)and matter element analysis were applied to obtaining the weights of the cutter evaluation criteria,and the fuzzy comprehensive evaluation and technique for order performance by similarity to ideal solution(TOPSIS)approaches were employed to determine the ranking of the cutters.A case application was offered to illustrate and validate the proposed method.The results of the project case demonstrate that this method is reasonable and feasible for disc cutter size selection in cutter head design.展开更多
In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and cost.On the other hand,Cloud Service Providers(CSPs)see...In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and cost.On the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource capabilities.The literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient way.The paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and resources.The model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher capabilities.Our experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.展开更多
双边匹配理论方法广泛应用在各个行业与日常生活中,产生较大的经济价值与社会价值。然而,现实双边匹配决策过程中,决策问题的复杂性使得双方主体给出的偏好信息是模糊的,决策环境的复杂性可能使所给出的偏好信息是不确定的。考虑到现实...双边匹配理论方法广泛应用在各个行业与日常生活中,产生较大的经济价值与社会价值。然而,现实双边匹配决策过程中,决策问题的复杂性使得双方主体给出的偏好信息是模糊的,决策环境的复杂性可能使所给出的偏好信息是不确定的。考虑到现实双边匹配问题的上述特征,给出一种新的犹豫模糊元偏好下的双边匹配决策方法。首先,基于TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)方法将犹豫模糊元矩阵转化为贴近度矩阵,即主体满意度矩阵;接着,构建以双边主体满意度最大化为目标的多目标规划模型;进一步地,运用线性加权法将多目标规划模型转化为单目标规划模型,并求解该模型得到最佳双边匹配方案;最后,使用一个人岗匹配实例验证该模型的有效性与有效性。展开更多
基金Project(51475478)supported by the National Natural Science Foundation of ChinaProject(2013CB035401)supported by the National Basic Research Program of China+1 种基金Project(2012AA041801)supported by the National High-tech Research and Development Program of ChinaProject(CX2014B058)supported by the Hunan Provincial Innovation Foundation for Postgraduate,China
文摘Geological adaptability matching design of a disc cutter is the prerequisite of cutter head design for tunnel boring machines(TBMs)and plays an important role in improving the tunneling efficiency of TBMs.The main purpose of the cutter matching design is to evaluate the cutter performance and select the appropriate cutter size.In this paper,a novel evaluation method based on multicriteria decision making(MCDM)techniques was developed to help TBM designers in the process of determining the cutter size.The analytic hierarchy process(AHP)and matter element analysis were applied to obtaining the weights of the cutter evaluation criteria,and the fuzzy comprehensive evaluation and technique for order performance by similarity to ideal solution(TOPSIS)approaches were employed to determine the ranking of the cutters.A case application was offered to illustrate and validate the proposed method.The results of the project case demonstrate that this method is reasonable and feasible for disc cutter size selection in cutter head design.
文摘In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and cost.On the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource capabilities.The literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient way.The paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and resources.The model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher capabilities.Our experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.
文摘双边匹配理论方法广泛应用在各个行业与日常生活中,产生较大的经济价值与社会价值。然而,现实双边匹配决策过程中,决策问题的复杂性使得双方主体给出的偏好信息是模糊的,决策环境的复杂性可能使所给出的偏好信息是不确定的。考虑到现实双边匹配问题的上述特征,给出一种新的犹豫模糊元偏好下的双边匹配决策方法。首先,基于TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)方法将犹豫模糊元矩阵转化为贴近度矩阵,即主体满意度矩阵;接着,构建以双边主体满意度最大化为目标的多目标规划模型;进一步地,运用线性加权法将多目标规划模型转化为单目标规划模型,并求解该模型得到最佳双边匹配方案;最后,使用一个人岗匹配实例验证该模型的有效性与有效性。
