2017
DOI: 10.2298/fil1719955a
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Generalized operations in soft set theory via relaxed conditions on parameters

Abstract: Abstract. Soft set theory has been evolved as a very useful mathematical tool to handle uncertainty and ambiguity associated with the real world data based structures. Parameters with certain conditions have been used to classify the data with the help of suitable functions. The aim of this paper is to relax conditions on parameters which lead us to propose some new concepts that consequently generalize existing comparable notions. We introduce the concepts of generalized finite soft equality ( f −soft equalit… Show more

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Cited by 23 publications
(28 citation statements)
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“…The ease of the definition of soft set made it more active to apply in many situations arising in information sciences, decision making, forecasting, demand analysis, mathematics and many other related disciplines as well. We refer reader for more studies on soft sets to ( [1,2,4,20,28,29,30]).…”
Section: Introductionmentioning
confidence: 99%
“…The ease of the definition of soft set made it more active to apply in many situations arising in information sciences, decision making, forecasting, demand analysis, mathematics and many other related disciplines as well. We refer reader for more studies on soft sets to ( [1,2,4,20,28,29,30]).…”
Section: Introductionmentioning
confidence: 99%
“…(ii) (G, A) is an upper soft equal to (F, B), denoted by (G, A) ≈ s (F, B), provided that G(k) = X for each k ∈ A\B, F(k) = X for each k ∈ B\A, and G(k) = F(k) for each k ∈ A B. Generalized soft subset and generalized soft equality relations were studied in [2] under the names of -soft subset and -soft equality.…”
Section: Definition 212 ([3])mentioning
confidence: 99%
“…In [2], the authors mentioned the following two incorrect results which were numbered as Proposition 4.3 and Theorem 4.4, respectively. We give the following example to illustrate that the above two results need not be true in general.…”
Section: Proposition 38 Let (Fmentioning
confidence: 99%
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