2013
DOI: 10.3233/ifs-120685
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A hybrid of adaptive neuro-fuzzy inference system and genetic algorithm

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Cited by 31 publications
(18 citation statements)
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“…Presently, work on soft set theory is progressing rapidly. Various operations and applications of soft sets were developed rapidly, including multi-adjoint t-concept lattices [5], signatures, definitions, operators and applications to fuzzy modelling [6], fuzzy inference system optimized by genetic algorithm for robust face and pose detection [7], fuzzy multi-objective modeling of effectiveness and user experience in online advertising [8], possibility fuzzy soft set [9], soft multiset theory [10], multiparameterized soft set [11], soft intuitionistic fuzzy sets [12], Q-fuzzy soft sets [13][14][15], and multi Q-fuzzy sets [16][17][18], thereby opening avenues to many applications [19,20]. Later, Maji [21] introduced a more generalized concept, which is a combination of neutrosophic sets and soft sets and studied its properties.…”
Section: Introductionmentioning
confidence: 99%
“…Presently, work on soft set theory is progressing rapidly. Various operations and applications of soft sets were developed rapidly, including multi-adjoint t-concept lattices [5], signatures, definitions, operators and applications to fuzzy modelling [6], fuzzy inference system optimized by genetic algorithm for robust face and pose detection [7], fuzzy multi-objective modeling of effectiveness and user experience in online advertising [8], possibility fuzzy soft set [9], soft multiset theory [10], multiparameterized soft set [11], soft intuitionistic fuzzy sets [12], Q-fuzzy soft sets [13][14][15], and multi Q-fuzzy sets [16][17][18], thereby opening avenues to many applications [19,20]. Later, Maji [21] introduced a more generalized concept, which is a combination of neutrosophic sets and soft sets and studied its properties.…”
Section: Introductionmentioning
confidence: 99%
“…At present, work on the soft set theory is progressing rapidly. Various operations and applications of soft sets have been developed rapidly, including the possibility of fuzzy soft set [5], soft multiset theory [6], multiparameterized soft set [7], soft intuitionistic fuzzy sets [8], Q-fuzzy soft sets [9][10][11], multi Q-fuzzy sets [12][13][14], N-soft set [15], Hesitant N-soft set [16], and Fuzzy N-soft set [17], thereby, opening avenues to genetic applications [18,19]. Later, Maji [20] have introduced a more generalized concept-which is a combination of neutrosophic sets and soft sets-and have studied its properties.…”
Section: Introductionmentioning
confidence: 99%
“…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]. Babitha and Sunil [32] introduced the concept of soft set relations and functions.…”
Section: Introductionmentioning
confidence: 99%