1. Cost estimation using ANFIS
- Author
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M. Darini, M. R. Karimi-T., and Ehsan Lotfi
- Subjects
Estimation ,Economics and Econometrics ,Adaptive neuro fuzzy inference system ,050208 finance ,Cost estimate ,Artificial neural network ,Computer science ,05 social sciences ,General Engineering ,Estimator ,02 engineering and technology ,Function (mathematics) ,computer.software_genre ,Education ,Kriging ,0502 economics and business ,Linear regression ,0202 electrical engineering, electronic engineering, information engineering ,Econometrics ,020201 artificial intelligence & image processing ,Data mining ,computer - Abstract
Cost function estimation is vital for decision-making in project management. In this article, a novel cost estimator is investigated based on an adaptive neuro-fuzzy inference system (ANFIS). In the numerical studies, ANFIS is tested to modeling pressure vessel cost as a case study. According to the comparative results, ANFIS shows better accuracy than multiple linear regression (MLR), Taylor Kriging (TK), and artificial neural networks (ANNs). Hence, ANFIS can be applicable to various cost function estimation problems.
- Published
- 2016