A study on rough programming theory and method in stochastic environment

Yan Li; Fachao Li; Zan Zhang

A study on rough programming theory and method in stochastic environment

Yan Li^*
, Fachao Li
, Zan Zhang

^*Corresponding author for this work

Hebei University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

To construct programming model and solution method under different backgrounds is the core of the formation of rational decision making. This paper starts from the practical problems, analyzes the solution model of rough programming based on Synthetic effect. Further, combining with knowledge of probability space under stochastic environment, we build a rough programming model based on probability space (BPS-RPM). Finally, its effectiveness is verified by the example. The method proposed in the paper improves and enriches the existing rough programming theory and method.

Original language	English
Pages (from-to)	327-334
Number of pages	8
Journal	ICIC Express Letters
Volume	9
Issue number	2
State	Published - 1 Jan 2015
Externally published	Yes

Keywords

Probability space
Rough programming
Stochastic environment
Synthetic effect

Cite this

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title = "A study on rough programming theory and method in stochastic environment",

abstract = "To construct programming model and solution method under different backgrounds is the core of the formation of rational decision making. This paper starts from the practical problems, analyzes the solution model of rough programming based on Synthetic effect. Further, combining with knowledge of probability space under stochastic environment, we build a rough programming model based on probability space (BPS-RPM). Finally, its effectiveness is verified by the example. The method proposed in the paper improves and enriches the existing rough programming theory and method.",

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N2 - To construct programming model and solution method under different backgrounds is the core of the formation of rational decision making. This paper starts from the practical problems, analyzes the solution model of rough programming based on Synthetic effect. Further, combining with knowledge of probability space under stochastic environment, we build a rough programming model based on probability space (BPS-RPM). Finally, its effectiveness is verified by the example. The method proposed in the paper improves and enriches the existing rough programming theory and method.

AB - To construct programming model and solution method under different backgrounds is the core of the formation of rational decision making. This paper starts from the practical problems, analyzes the solution model of rough programming based on Synthetic effect. Further, combining with knowledge of probability space under stochastic environment, we build a rough programming model based on probability space (BPS-RPM). Finally, its effectiveness is verified by the example. The method proposed in the paper improves and enriches the existing rough programming theory and method.

KW - Probability space

KW - Rough programming

KW - Stochastic environment

KW - Synthetic effect

UR - https://www.scopus.com/pages/publications/84922168945

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JF - ICIC Express Letters

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A study on rough programming theory and method in stochastic environment

Abstract

Keywords

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