Name
Title | ||
|---|---|---|
A hybrid approach for software cost estimation using polynomial neural networks and intuitionistic fuzzy sets |
Abstract | ||
|---|---|---|
AbstractSoftware cost estimation SCE is an important and critical activity of any software development organisation. It helps the project managers to effectively manage their projects and prevent them from over budgeting. In this study we introduce a new design methodology for software cost estimation using polynomial neural networks PNNs and intuitionistic fuzzy sets which resulted in improved SCEs. The performance of the proposed model is tested through a series of experiments on three publicly available software development data, i.e., COCOMO81, NASA93, and Maxwell datasets. The proposed technique of using IFCM intuitionistic fuzzy C Means along with PNNs has drastically improved the cost estimations in comparison with the use of fuzzy C means FCM with PNN as reported in the literature. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1504/IJCAT.2015.073596 | Periodicals |
Keywords | Field | DocType |
SCE, software cost estimation, neural network, PNN, polynomial neural network, fuzzy clustering, intuitionistic FCM, fuzzy C means | Fuzzy clustering,Data mining,Neuro-fuzzy,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy number,Machine learning,Software development | Journal |
Volume | Issue | ISSN |
52 | 4 | 0952-8091 |
Citations | PageRank | References |
2 | 0.40 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anupama Kaushik | 1 | 15 | 2.56 |
| A. K. Soni | 2 | 20 | 2.25 |
| Rachna Soni | 3 | 11 | 1.74 |