نتایج جستجو برای: 2 fuzzy set

تعداد نتایج: 3106904  

Journal: :biquarterly journal of control and optimization in applied mathematics 2015
aminalah alba

jahanshahloo has suggested a method for the solving linear programming problems with zero-one variables‎. ‎in this paper we formulate fully fuzzy linear programming problems with zero-one variables and a method for solving these problems is presented using the ranking function and also the branch and bound method along with an example is presented.

Journal: :iranian journal of fuzzy systems 2012
alireza kamel mirmostafaee madjid mirzavaziri

let $(x, n)$ be a fuzzy normed space and $a$ be a fuzzy boundedsubset of $x$.  we define fuzzy $ell^infty$-sums and fuzzy $c_0$-sums offuzzy normed spaces. then we will show that in these spaces, all  fuzzyuniquely remotal sets are singletons.

Journal: :Journal of Fuzzy Set Valued Analysis 2018

Journal: :Electronic Notes in Theoretical Computer Science 2018

Journal: :Advances in Fuzzy Systems 2014

Journal: :journal of optimization in industrial engineering 2013
seyed habib a rahmati abolfazl kazemi mohammad saidi mehrabad alireza alinezhad

six-sigma has some measures which measure performance characteristics related to a process. in most of the traditional methods, exact estimation is used to assess these measures and to utilize them in practice. in this paper, to estimate some of these measures, including defects per million opportunities (dpmo), defects per opportunity (dpo), defects per unit (dpu) and yield, a new algorithm ba...

Journal: :journal of linear and topological algebra (jlta) 2015
s karataş b kılıç m tellioğlu

in this work, we introduce notion of connectedness on fuzzy soft topological spaces and present fundamentals properties. we also investigate effect to fuzzy soft connectedness. moreover, c_i-connectedness which plays an important role in fuzzy topological space extend to fuzzy soft topological spaces.

Journal: :iranian journal of fuzzy systems 2011
naim cagman serdar enginoglu filiz citak

in this work, we define a fuzzy soft set theory and its related properties. we then define fuzzy soft aggregation operator that allows constructing more efficient decision making method. finally, we give an example which shows that the method can be successfully applied to many problems that contain uncertainties.

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