Title | ||
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Semi-parametric partially logistic regression model with exact inputs and intuitionistic fuzzy outputs. |
Abstract | ||
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•A logistic regression model is introduced with exact inputs and intuitionistic fuzzy number outputs.•Semi-parametric method is used to improve fuzzy logistic regression models.•Efficiency of proposed method is demonstrated via a real-world application.•The proposed method is compared to that of a common fuzzy logistic regression model. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.asoc.2017.04.067 | Applied Soft Computing |
Keywords | Field | DocType |
Intuitionistic fuzzy number,Semi-parametric partially linear,Curve fitting method,Least square deviation,Optimal bandwidth,Goodness-of-fit measure | Mathematical optimization,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy mathematics,Fuzzy set,Fuzzy number,Membership function,Mathematics | Journal |
Volume | ISSN | Citations |
58 | 1568-4946 | 2 |
PageRank | References | Authors |
0.36 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gholamreza Hesamian | 1 | 69 | 15.53 |
Mohammad Ghasem Akbari | 2 | 31 | 12.04 |