Multiple attribute group decision making based on advanced linguistic intuitionistic fuzzy weighted averaging aggregation operator of linguistic intuitionistic fuzzy numbers

The goal of this paper is to introduce a novel hybrid model called multi-fuzzy N-soft set, and to design an adjustable decision-making methodology for solving problems where the inputs appear in this form. The new model enhances the virtues of multi-fuzzy set theory with the benefits of N-soft sets, two models that have been extensively investigated in recent years. The theoretical setting that arises allows us to incorporate data on the occurrence of ratings or grades (the defining characteristic of N-soft sets) in a multi-fuzzy environment. We perform a set-theoretical analysis of multi-fuzzy N-soft sets in order to establish the fundamental properties of their behavior. Then we develop a highly adaptable approach to decision-making in this new setting. This methodology takes advantage of a flexible procedure for the conversion of the original data to a hesitant N-soft setting, where we can resort to scores. Examples illustrate its application and the role of each parameter in the decision-making procedure.

The multi-fuzzy N-soft set and its applications to decision-making

IFP-intuitionistic multi fuzzy N-soft set and its induced IFP-hesitant N-soft set in decision-making

Group decision making based on q-rung orthopair fuzzy weighted averaging aggregation operator of q-rung orthopair fuzzy numbers

Group decision making based on weighted distance measure of linguistic intuitionistic fuzzy sets and the TOPSIS method

In this article, we introduce a new hybrid model called generalized vague N-soft sets by a suitable combination of generalized vague soft sets with N-soft sets. Some useful operations and properties are given. Moreover, we investigate the similarity measure of generalized vague N-soft sets in group decision-making problems. This method is more cautious and reasonable by combining the optimistic and pessimistic ideas. Finally, we describe the potential applications of generalized vague N-soft sets in group decision making.

Group decision-making method based on generalized Vague N-soft sets

This article introduces a novel hybrid structure named as interval-valued neutrosophic N-soft sets (IVNNSSs in short) by a reasonable and innovative combination, connecting interval-valued neutrosophic soft sets to N-soft sets. The new model is illustrated with useful properties and real example. Moreover, we give the extend relations on interval-valued neutrosophic N-soft sets with some operations. Finally, group decision making application of IVNNSSs is given by the extend relation contrast ranking method as a new algorithm. The core of the new algorithm is the extended relationship, which can solve the decision problem when encountering two or more classes of attribute sets. And extend relation contrast ranking method is more suitable for the information of IVNNSSs. Then compared with the TOPSIS, the proposed algorithm is more concise and easy to operate.

Multiattribute group decision making based on interval-valued neutrosophic N-soft sets

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Group decision-making method based on generalized Vague N-soft sets

Multiattribute group decision making based on interval-valued neutrosophic N-soft sets