带有资源约束的模糊 DEA 线性生产博弈模型及分配
作者:
作者单位:

1.苏州科技大学商学院;2.山东财经大学管理科学与工程学院

作者简介:

通讯作者:

中图分类号:

91A12

基金项目:

国家自然科学基金(72061007,71961004,71801060,71561008,71808060)


Coalitions revenue and allocations of cloud service production in Fuzzy DEA linear production game under resources constraints
Author:
Affiliation:

1.Business School of Suzhou University of science and technology;2.Shandong University of Finance and Economics

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    Owen 线性生产博弈假设生产技术和资源的边际贡献固定不变. 但实际上, 生产技术和资源边际贡献并 非固定不变而是随生产改变. 基于此, 为了刻画具有模糊性和动态性的生产过程, 本文提出了模糊 DEA 线性生产 博弈, 首先构建了两种合作水平(同时共享技术和资源、仅共享资源)、三种资源类型(月 低资源、朁 佳资源、 有效资源)和两种收益角度(乐观、悲观)构成的复杂生产模型, 并通过上述三种因素解释了合作生产具有互 利性、资源带来的收益具有“先增后平”的变化趋势以及可能获得的构 大收益区间. 其次利用 α-核心求解此 博弈, 在特定情况下无韠 利用对偶理论即可得到 α- 核心分配, 从而简化了计算步骤. 朮 后, 通过解决云服务虚拟 机转化过程中建模和收益分配问题说明本文模型和方法实际意义与理论价值.

    Abstract:

    Owen’s linear production game makes a fixed assumption on the marginal contribution of production technology and resources. However, production technology and the marginal contribution of resources changes with production all the time in fact. Based on this, in order to describe the production process with fuzziness and dynamics, this paper proposes a fuzzy DEA linear production game. Firstly, the complex production models composed of two cooperation scenarios (sharing technology and resources and sharing resources only), three resource types(the minimum resources, the optimum resources, the effective resources) and revenues from two perspectives(optimistic and pessimism) are established. This paper explains the mutual benefit of cooperative production, the change trend of ”increase first and then smooth” in the revenue brought by resources, and the possible maximum revenue range by above three factors. Secondly, use α-core solves this game, it is found that the α-core allocation can be obtained without using duality theory in specific cases, which simplifies the calculation steps. Finally, the practical significance and theoretical value of this model and method are illustrated by solving the problems of modeling and revenue allocation in the process of cloud service virtual machine transformation.

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  • 收稿日期:2021-12-17
  • 最后修改日期:2023-01-05
  • 录用日期:2022-05-31
  • 在线发布日期: 2022-09-09
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