نتایج جستجو برای: soft g

تعداد نتایج: 562504  

2012
K. KANNAN

In the present paper, we introduce soft generalized closed sets in soft topological spaces which are defined over an initial universe with a fixed set of parameters. A sufficient condition for a soft g-closed set to be a soft closed is also presented. Moreover, the union and intersection of two soft g-closed sets are discussed. Finally, the new soft separation axiom, namely soft 1 2 T space is ...

ژورنال: سلامت و محیط زیست 2014

Background and Objectives: The present study was designed to determine total mercury concentrations in sediment and the soft tissues of two bivalve species, Saccostrea cucullata and Callista umbonella, in coastline of Bandar Abbas in 2011. Materials and Methods: Generally, 67 bivalves and 10 sediment samples were collected from two stations (terminal of Bandar Abbas and tourism park of Soro). W...

Journal: :journal of nanostructures 2012
a. r. badiei g. mohammadi ziarani a. r. abbasi m. jafarabadi

the phenylthiourea-substituted triethoxysilane as a silane agent was synthesized and grafted on highly ordered nanoporous silica (lus-1) with a textured morphology and hexagonal array. this material (tu-lus-1) contained 0.8 mmol/g of soft base phenylthiourea group and surface area 760 m2g-1 and was able to adsorb 0.75 mmolhg/g of tu-lus-1 in endothermic reaction.

Journal: :iranian journal of fuzzy systems 2009
young bae jun chul hwan park

the concept of soft sets, introduced by molodtsov [20] is a mathematicaltool for dealing with uncertainties, that is free from the difficultiesthat have troubled the traditional theoretical approaches. in this paper, weapply the notion of the soft sets of molodtsov to the theory of hilbert algebras.the notion of soft hilbert (abysmal and deductive) algebras, soft subalgebras,soft abysms and sof...

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده ادبیات و علوم انسانی 1392

this study tried to explore disciplinary variations of web blurbs across soft and hard knowledge fields on the one hand, and to illustrate how academic publishers exploit interactional metadiscourse devices in move structure of their blurbs on the other.

Journal: :Journal of Nonlinear Sciences and Applications 2016

Interval-valued intuitionistic fuzzy sets (IVIFSs) are widely used to handle uncertainty and imprecision in decision making. However, in more complicated environment, it is difficult to express the uncertain information by an IVIFS with considering the decision-making preference. Hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (G-GIVIFSS) which conta...

Journal: :Fundamental journal of mathematics and applications 2022

In this paper, we present two new generalizations of the pasting lemma using soft mixed structure. To do this, introduce notions a $(\tau _{1},\tau _{2})$-$g$-closed set and _{2})$-$gpr$% -closed set. We establish $g$-soft continuity $gpr$-soft between topological spaces $(X,\tau _{1},\Delta _{1})$, _{2},\Delta _{1})$ space ,\Delta _{2})$. Finally prove versions continuous mapping mapping.

Journal: :iranian journal of fuzzy systems 0
hua wu key laboratory of ultrafast photoelectric diagnostics technology, xi'an institute of optics and precision mechanics of chinese academy of sciences, xi'an, china and university of chinese academy of sciences, beijing, china. xiuqin su key laboratory of ultrafast photoelectric diagnostics technology, xi'an institute of optics and precision mechanics of chinese academy of sciences, xi'an, china

interval-valued intuitionistic fuzzy sets (ivifss) are widely used to handle uncertainty and imprecision in decision making. however, in more complicated environment, it is difficult to express the uncertain information by an ivifs with considering the decision-making preference. hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (g-givifss) which conta...

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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