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Research on Arithematic in Interval Optimal Model
Author: HeErYa
Tutor: XiaoXinPing
School: Wuhan University of Technology
Course: Applied Mathematics
Keywords: Interval Numbers Linear Programming Satisfaction Parameter Bilevel programming
CLC: O221.1
Type: Master's thesis
Year: 2005
Downloads: 347
Quote: 5
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Abstract
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Limitations due to the complexity of the actual situation or awareness of the problem in real life and in the engineering field, subjectivity, there is a lot of uncertainty phenomenon, these uncertainties phenomenon is mainly manifested in two aspects: First, the randomness , fuzziness. In mathematical programming problems, these uncertainties phenomenon will give decision-makers to make decisions cause great difficulties, has a very important theoretical and practical significance for the study of the optimization problem in this uncertain environment. This article discusses a class of uncertainty optimization problem with interval number, the main contents are as follows: First, the interval between the number of computing and sorting reviewed seven aspects of interval numbers and gray number. Resolve attribute weights has clearly given property value is the interval number of this type of multi-attribute decision-making problems, define the distance between interval numbers and the ideal solution, the distance between the use of the ideal solution to sort the various options, in order to make decisions. Second, first discussed target coefficient and constraint coefficient for the interval number linear programming. The introduction of interval numbers compare satisfaction and parameters into a general linear programming, and prove that the optimal solution of linear programming after the conversion into prior to the effective solution. Interval number, then the target coefficient constrained coefficient contain the interval number and triangular fuzzy number linear programming. Established the model as well as the sort of triangular fuzzy numbers, arithmetic, conversion and solving method similar to solve the former model. Third, the interval number bilevel programming. Defined interval number linear programming, introductory understanding of the concept and parameters planning results obtained With the changes in the parameters of the solution set and optimal value changes. Defined interval the number of price control model, but also on the basis of the satisfaction of its transformation, the iterative penalty function method to solve. Satisfaction in the calculation of these interval optimization model and parameter selection is random, with a lot of arbitrary and subjective, so that the final outcome will be influential. Interval number linear bilevel programming, know the parameters affect the solution set and optimal value, and how they will function as well as what kind of relationship these issues need to be further addressed . Although these algorithms have demonstrated the feasibility, can never applied to practice to test.
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CLC: > Mathematical sciences and chemical > Mathematics > Operations Research > Planning Theory ( mathematical programming) > Linear programming
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