Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …

As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an
important role in handling the uncertainty under the uncertain environments. The …

This paper attempts to forward both soft topology and fuzzy soft topology with a pioneering
analysis of their mutual relationships. With each soft topology we associate a parameterized …

Group decision-making is a collaborative process to find optimal alternative based on an
aggregation judgment. Various techniques have been suggested to solve decision-making …

Parameter reduction is one of the major steps in decision-making problems. It refers to
determine a minimal subset of a parameter set which preserves the final decision based on …

Fuzzy soft boundary Page 1 Annals of Fuzzy Mathematics and Informatics Volume 8, No. 5, (November
2014), pp. 687–703 ISSN: 2093–9310 (print version) ISSN: 2287–6235 (electronic version) …

In this study, we present the concept of the interval-valued fuzzy soft point and then
introduce the notions of its neighborhood and quasi-neighborhood in interval-valued fuzzy …

Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy
soft set (FSS) to express decision makers' opinions in real-world decision problems. Until …

Ranking interval-valued fuzzy soft sets is an increasingly important research issue in
decision making, and provides support for decision makers in order to select the optimal …

This work deals with an adjustable approach for ranking objects based on fuzzy soft models.
We first generate two preorder relations, thus, two equivalence relations based on the fuzzy …