论文信息 - Genetic Algorithms-Fuzzy Based Trade-Off Adjustment Between Software Complexity and Deliverability

Genetic Algorithms-Fuzzy Based Trade-Off Adjustment Between Software Complexity and Deliverability

The paper highlights the issue of the Trade-off between Software Deliverability and Complexity. It uses the technique of Messy Algorithm to generate chromosomes containing Fuzzy rules derived under various combinations. The proposed system makes the combination of Complexity and Deliverability more transparent and interoperable.

Manuj Darbari | Neelu Jyothi Ahuja | Siddharth Lavania | Imran Ali Siddqui

[1] Rick Sobiesiak,et al. Complexity analysis: a quantitative approach to usability engineering , 2011, CASCON.

[2] Surya Prakash Tripathi,et al. A Survey on Interpretability-Accuracy (I-A) Trade-Off in Evolutionary Fuzzy Systems , 2011, 2011 Fifth International Conference on Genetic and Evolutionary Computing.

[3] Surya Prakash Tripathi,et al. Interpretability Issues in Evolutionary Multi-Objective Fuzzy Knowledge Base Systems , 2012, BIC-TA.

[4] Manuj Darbari,et al. Information granules for medical infonomics , 2013 .

[5] Derek A. Linkens,et al. Elicitation and fine-tuning of fuzzy control rules using symbiotic evolution , 2004, Fuzzy Sets Syst..