2014
DOI: 10.1016/j.asoc.2014.06.050
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Group decision making in medical system: An intuitionistic fuzzy soft set approach

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Cited by 86 publications
(51 citation statements)
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“…Recently, it has been combined with theories, such as fuzzy set [2][3][4][5], rough set [6], algebras [7,8], group [9,10], ideal [11], topology [12] and intuitionistic fuzzy soft sets [13]. Moreover, soft set theory has been applied in areas, such as parameters reduction [14][15][16], decision making [17][18][19][20], risk assessment [21], medical diagnosis [22][23][24], group decision [25].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, it has been combined with theories, such as fuzzy set [2][3][4][5], rough set [6], algebras [7,8], group [9,10], ideal [11], topology [12] and intuitionistic fuzzy soft sets [13]. Moreover, soft set theory has been applied in areas, such as parameters reduction [14][15][16], decision making [17][18][19][20], risk assessment [21], medical diagnosis [22][23][24], group decision [25].…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of soft set is that it is free from the inadequacy of the parameterization tools, such as the probability theory, fuzzy sets and rough sets [1,4]. Recently, with these developments of soft set theory, kinds of applications have been studied, such as decision making [4][5][6][33][34][35][36], engineering [7], economics [8] and medical science [9], and so on. The meanings of kinds of soft sets are dealing with different practical issues based on vagueness and uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy determination mechanism (FDM) incorporates the fuzzy inference, fuzzy implication, and the fuzzy aggregation. Das and Kar [10] have proposed the use of fuzzy soft approaches for designing diagnosis algorithms. The algorithm involves analyzing the considerations of a group of experts who give their opinion only regarding the symptoms they have knowledge about.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Using (8), the Type-2 FL based rule aggregation values are computed for the two consequences and are later defuzzified to get the probability. f) Defuzzification: Using the centroid method as stated in (10), the final probability is calculated. Here, w (i) is the weight of aggregated fired rules for a consequence, i = [0, 1].…”
Section: A)mentioning
confidence: 99%