Vague soft expert set theory

Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making

“…Later, Maji [21] introduced a more generalized concept, which is a combination of neutrosophic sets and soft sets and studied its properties. Alkhazaleh and Salleh [22] defined the concept of fuzzy soft expert sets, which were later extended to vague soft expert set theory [23], generalized vague soft expert set [24], and multi Q-fuzzy soft expert set [25]. Sahin et al [26] introduced neutrosophic soft expert sets, while Hassan et al [27] extended it further to Q-neutrosophic soft expert sets.…”

Vague soft set relations and functions

“…Later Maji and Roy [2,3] used soft set theory in decision making problems and defined some operations in soft set theory such as subset and the complement of soft set [4]. Moreover, soft set has been developed rapidly to fuzzy soft sets [5][6][7][8], intuitionistic fuzzy soft sets [9][10][11][12], vague soft set [13][14][15][16], vague soft multiset [17], generalised vague soft expert set [18][19][20][21], interval-valued fuzzy soft sets [22], interval-valued vague soft sets [23][24][25] and interval-valued intuitionstic fuzzy soft sets [26]. Fuzzy soft sets are further extended to neuro-fuzzy soft sets [27,28] and Q-fuzzy soft sets [29][30][31].…”

Multi Q-fuzzy parameterized soft set and its application

“…Alkhazaleh et al [8] also introduced soft multisets as a generalization of Molodtsov's soft set followed by the concept of possibility fuzzy soft set and multiparameterized soft set [9,10] as extensions of soft set, while Alhazaymeh et al [11] introduced the concept of the soft intuitionistic fuzzy sets. Alhazaymeh and Hassan [12][13][14] and Hassan and Alhazaymeh [15] also developed new theoretical studies of vague soft set theory and illustrated applications of these studies in decision making. Varnamkhasti and Hassan instead pursue a divergent approach to fuzzy sets in the biological field such as the construction of neurogenetic algoritms [16] and neuro-fuzzy inference system [17].…”