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Fuzzy Optimization Model Based on Synthesizing Effect
Author: LiJing
Tutor: LiFaChao
School: Hebei University of Science and Technology
Course: Applied Mathematics
Keywords: Fuzzy Programming Fuzzy numbers Interval Numbers Coherent structures Composite quantitative strategies Effects of integrated functions Quantitative characteristics of Composite Features
CLC: O159
Type: Master's thesis
Year: 2011
Downloads: 29
Quote: 0
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Abstract
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Fuzzy number with a number and a collection of dual characteristics , it is most commonly used in the practical problems of fuzzy information description tools . The exact sequence relationship does not exist between the fuzzy numbers , which sort of fuzzy numbers has been extensive attention in the field of academic and applied research . Although many scholars from different angles to establish the sort method with different characteristics , but were not systematically consider the sort type and sort method guidelines . The nature of the sort of fuzzy numbers to do the following : (1) The two basic types of fuzzy sort of information , that is based on a number of characteristics of the sort and sort based on composite characteristics , the analysis of two different types of scheduling problem distinction ; ( 2 ) gives the basic principles to be followed ranking interval numbers based on the number of features , in combination with the compound quantitative description of the range of the number of indicators integrated axiomatic system , from the point of view of the abstract and structured to discuss the the effect integrated function problems , addition and multiplication type , the effect of the proposed linear model function build guidelines ; ( 3) to the structural characteristics of the fuzzy number ranking method of interval numbers based on the number of features and the level effect function basis points as a hierarchical information tools , create two fuzzy numbers based on the number of features of the sorting mode ( sorting method based on the number of the number of features and the number of feature - based fuzzy ranging degree model ) ; ( 4) by analyzing the range number with the number of characteristics and reflect the uncertainty of information , the establishment of a ranking interval numbers based on composite features , combined with the structural characteristics of the fuzzy number to a fuzzy ranking method based on composite features ; ( 5 ) through specific fuzzy decision making and fuzzy programming problems , further analysis of the characteristics and effectiveness of the sort mode built .
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CLC: > Mathematical sciences and chemical > Mathematics > Algebra,number theory, portfolio theory > Fuzzy Mathematics
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