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Inevitability Theory Of Fuzzy Numbers, Sorting And Its Applications

Posted on:2006-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:H BaoFull Text:PDF
GTID:2190360155464352Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
This paper has four chapters .The emphasis in the first chapter is mainly on possibility theory ,fuzzy numbers,fuzzy bases and fuzzy interpolation. The main results in this chapter are well-known. For this reason, this chapter can be omitted by the readers who are familiar with the basic concepts and theories of them. The main b ody has three parts, namely the second, the third and the fourth chapter. In chapter two, first, we have put forward the concept of necessity measure on the basis of possibility theory. Second, we have put forward the concept of fuzzy infintegral, proved the function is fuzzy infintegral if and only if it is fuzzy supintegral, then put forward the concept and the characters of the fuzzy integral. Third, we have proved the necessity measure leaded by fuzzy variable ξ is equal to which leaded by Π_ξ. So we call the two kind of necessity measure normal necessity measure. Therefore the possibility theory is made better. In the third chapter, sequencing problem can be solved to a certain extent, by introducing several methods to rank fuzzy numbers. A special class of fuzzy bases , called subfuzzy bases ,have introduced in chapter four ,and we have considered the characters of subfuzzy bases and fuzzy interpolation .We have shown that the nonlinear programming problems can be simplied by means of fuzzy interpolation.
Keywords/Search Tags:Necessity measure, fuzzy infintegral, fuzzy variables, lead, fuzzy numbers, rank, subfuzzy bases, fuzzy interpolation, nonlinear programming
PDF Full Text Request
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