In this paper, we incorporate Molodtsov's soft set theory with probability theory and then propose the notion of probabilistic soft sets. We provide some.
Abstract: In this paper, we incorporate Molodtsov's soft set theory with probability theory and then propose the notion of probabilistic soft sets.
People also ask
What is probabilistic logic in soft computing?
What is soft set theory?
What is the difference between a fuzzy set and a soft set?
Abstract. In this paper, we study the theory of probabilistic soft sets introduced by [7]. We define equality of two probabilistic soft sets, subset, ...
Apr 26, 2017 · In this paper, we propose new algorithms for decision-making based on the probabilistic soft set theory.
The combination of soft sets and probability theory generates probabilistic soft set theory. However, decision-making based on the probabilistic soft set theory ...
Probabilistic soft sets and dual probabilistic soft sets in decision ...
iopscience.iop.org › article
In this paper, we motivate and introduce probabilistic soft sets and dual probabilistic soft sets for handling decision making problem in the presence of ...
In this paper, we incorporate Molodtsov's soft set theory with probability theory and then propose the notion of probabilistic soft sets.
In this paper, we propose new algorithms for decision-making based on the probabilistic soft set theory. An example to show the application of these algorithms ...
Soft set theory is a new mathematical tool in dealing with uncertainties which is free from the above difficulties. Soft set can deal with broader uncertain ...
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains.