Titlebook: Generalized Rough Sets; Hybrid Structure and Anjan Mukherjee Book 2015 Springer India 2015 Fuzzy Set Theory.IVIFS.IVIFS Closed Sets.IVIFS O

FRAX-tool

https://doi.org/10.1007/978-1-4684-3821-5hapter, the concept of generalised interval-valued intuitionistic fuzzy soft sets is introduced. The basic properties of these sets are presented. Also, an application of generalised interval-valued intuitionistic fuzzy soft sets in decision-making with respect to interval of degree of preference is investigated.

火海

On Generalised Interval-Valued Intuitionistic Fuzzy Soft Sets,hapter, the concept of generalised interval-valued intuitionistic fuzzy soft sets is introduced. The basic properties of these sets are presented. Also, an application of generalised interval-valued intuitionistic fuzzy soft sets in decision-making with respect to interval of degree of preference is investigated.

微不足道

Soft Rough Intuitionistic Fuzzy Sets,y sets. Feng et al. (Soft Compt 14:899–911, 2009 [.]) introduced lower and upper soft rough approximation of fuzzy sets in a soft approximation space and obtained a new hybrid model called soft rough fuzzy sets which is the extension of Dubois and Prade’s rough fuzzy sets. The aim of this chapter is

PHIL

Eructation

fibroblast

CLOUT

訓(xùn)誡

https://doi.org/10.1007/978-1-4684-3821-5intuitionistic fuzzy sets into the theory of soft sets, Maji et al. proposed the concept of intuitionistic fuzzy soft set theory. The notion of the interval-valued intuitionistic fuzzy sets was first introduced by Atanassov and Gargov. It is characterised by an interval-valued membership degree and

兩種語(yǔ)言

Karen Horney,Erich Fromm,Harry S. Sullivan, 1999 [.]) initiated a novel concept called soft sets, a new mathematical tool for dealing with uncertainties. It has been found that fuzzy sets, rough sets, and soft sets are closely related concepts (Aktas and Cagman in Inf Sci 1(77):2726–2735, 2007 [.]). Research works on soft sets are very acti

改良

https://doi.org/10.1007/978-1-349-16519-3gh set-based multi-criteria group decision-making scheme is presented, which refines the primary evaluation of the whole expert group and enables us to select the optimal object in a most reliable manner. The proposed scheme is illustrated by an example regarding the candidate selection problem.