Many real world decision making problems often involve uncertainty data, which mainly
originating from incomplete data and imprecise decision. The soft set theory as a …

This study addresses the optimization of energy management within corporations to reduce
expenditures and maximize profits. Focusing on proactive, coordinated, and systematic …

Soft set (SS) theory was introduced by Molodtsov to handle uncertainty. It uses a family of
subsets associated with each parameter. Hybrid models have been found to be more useful …

Soft set theory was introduced by Molodtsov to handle uncertainty. It uses a family of subsets
associated with each parameter. Hybrid models have been found to be more useful than the …

Soft set theory introduced by Molodtsov is a new mathematical approach to handle the
uncertainty problems. It is a family of subsets associated with each parameter in a soft …

There are several models of uncertainty found in the literature like fuzzy set, rough set, soft
set and hesitant fuzzy set. Also, several hybrid models have come up as a combination of …

In literature, several models which can handle uncertainty in datasets have been introduced.
Fuzzy set introduced by Zadeh in 1965, is one of the earliest such models and Atanassov …

Soft set is one of the latest mathematical models to handle uncertainty. In a soft set, every
element of its parameter set is associated with a subset of the universe of discourse under …

As seed selection is a challenging task due to the presence of hundreds of varieties of seeds
of each kind, some homework is necessary for selecting suitable seeds as new varieties and …

Decision-making is a technique which all of us do every day in different contexts. In Decision-
making several alternates are there from which the best one is to be selected. But the …